Artificial Intelligence Book(Implication Of AI In Education )

Artificial Intelligence in Academia:
Challenges and Prospect for
Teaching and Learning

Artificial Intelligence in Academia:
Challenges and Prospect for
Editor
Prof. Vipin Sharma
KUNALBOOKS
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Artificial Intelligence in Academia: Challenges and Prospect
for Teaching and Learning
© Editor
First Published, 2024
ISBN :
All rights reserved. No partof this publication may be reproduced, stored in
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Published in India by Prem Singh Bisht of Kunal Books, and
printed at Trident Enterprises, Noida, (U.P.).

(vii)
CONTENTS
Preface v
1. The Synergy of Artificial Intelligence and Teachers
in Education 1
Dr. M. Arunasalam
2. Artificial Intelligence: Transformative Impacts
and Educational Perspectives in the
English Language 13
Dr. S. Sreejana
3. Technology for Teaching and Testing English
Language using AI 26
Dr. B Kogilavani and Mr. A Justin Diraviam
4. The Integration of Artificial Intelligence in
Effective Teaching Methodologies: A Paradigm
Shift in the Classroom 32
Dr. Veenu Arora
5. Transforming Education: Navigating the
Implications of Artificial Intelligence 42
Mrs. S. Amuthavalli
6. Use of Artificial Intelligence in Language Learning52
Dr. Suman Devi
7. Relationship Between Artificial Intelligence
and Education 60
Gaurav Shahi and Ms. Shubhika Gaur

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8. Ethics, Ethos, Safety and Well-Being in Using AI
in Higher Education 73
Dr. N. Kothai
9. Artificial Intelligence in Conjuction with Teachers
is a Need for the Educational System of the
Twenty-First Century 78
Dr. P. Subramanian
10. AI Applications Related to Teaching and Learning!87
Author Name
11. Ethical Implications and Risks in AI
Enhanced Education 97
Author Name
12. Artificial Intelligence in Education System:
Utilization and Challenges 105
K. Mohana
13. AI for Skill Development 115
Mrs M.Kavitha and Mrs V. Varalakshmi
14. Implications of AI in Education 129
Niyati Anirudhbhai Pathak
15. Unlocking the Future of Education: The
Transformative Power of Artificial Intelligence 139
R. Sathiya Priya and Dr. S. Senthilnathan
16. Ethics, Ethos, Safety and Well-being in Using AI
in Education 148
Dr. M.Senthilkumaran and B. Revathi
17. Application of Artificial Intelligence (AI)
in Education 161
Ms. Swapnil, Mr. Atishay Jain and Ms. Shubhika Gaur

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18. Changing Paradigms and Approaches in
Artificial Intelligence (AI) in Education 172
Dr. N. Sridhar and Dr. Malliga
19. Application of Artificial Intelligence (AI)
in Education 180
Atika Kumala Dewi
Index 187

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LIST OF CONTRIBUTORS
1. Dr.M.Arunasalam, Professor, Vellalar College of
Education, Thindal, Erode, Tamilnadu
2. Dr. S. Sreejana, Assistant Professor of English,
Department of Languages and Communication,
Kumaraguru College of Technology, Coimbatore,
Tamilnadu, India
3. Dr B Kogilavani, Assistant Professor Department of
Science and Humanities, Sri Krishna College of
Technology, Coimbatore.
4. Mr A Justin Diraviam, Assistant Professor Department
of Science and Humanities, Hindusthan College of
Engineering and Technology, Coimbatore.
5. Dr. Veenu Arora, Associate Professor, Asian Business
School, Noida
6. Mrs. S. Amuthavalli, Assistant Professor, Vellalar
College of Education, Thindal, Erode, Tamilnadu
7. Dr. Suman Devi, Assistant Professor of English, Jayoti
Vidyapeeth Women’s University, Jaipur, Rajasthan
8. Gaurav Shahi, Asian Business School, Noida
9. Ms. Shubhika Gaur, Assistant Professor, Asian Business
School, Noida
10. Dr. N. Kothai, Government College of Education for
Women, Coimbatore.
11. Dr. P. Subramanian, Assistant Professor, Department
of Educational Planning and Administration, Tamil Nadu
Teachers Education University, Karapakkam, Chennai

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12.
13.
14. K. Mohana, Assistant Professor, Vellalar College of
Education, Erode.
15. Mrs M.Kavitha . Asst Professor in Education, Vellalar
College of Education, Maruthi Nagar, Thindal, Erode
16. Mrs V. Varalakshmi, Asst Professor in Education, Vellalar
College of Education, Maruthi Nagar, Thindal, Erode
17. Niyati Anirudhbhai Pathak
18. R. Sathiya Priya, Research Scholar, Bharathidasan
University, Tiruchirappalli, Assistant Professor, Vellalar
College of Education, Erode
19. Dr.S.Senthilnathan, Professor, Dept. of Educational
Technology, Bharathidasan University, Tiruchirappalli
20. Dr.M.Senthilkumaran, Assistant Professor, Department
of Educational Technology, Tamil Nadu Teachers
Education University, Chennai
21. B. Revathi, Assistant Professor, Vellalar College of
Education, Maruthi Nagar, Thindal, Erode
22. Ms. Swapnil, Mr. Atishay Jain, Asian Business School,
Noida
23. Ms. Shubhika Gaur, Assistant Professor, Asian Business
School, Noida
24. Dr. N. Sridhar, Associate Professor, Principal, Vellalar
College of Education, Maruhtinagar, Thindal, Erode
25. Dr. Malliga, Principal, Vellalar College of Education,
Maruhtinagar, Thindal, Erode
26. Atika Kumala Dewi, Universitas Negeri Malang (State
University of Malang), Jl. Cakrawala No.5, Sumbersari,
Kec. Lowokwaru, Kota Malang, Jawa Timur

1
Artificial Intelligence in Academia: Challenges and Prospect for...
1
The Synergy of Artificial
Intelligence and Teachers in
Education
Dr. M. Arunasalam
‘The development of full artificial intelligence could spell the end
of the human race.’
- Stephen Hawking.
Introduction
Artificial intelligence and human teachers are not the only
options for education in the future. Rather, it appears to be
a potential collaboration in which each brings special talents
to the table to create a synergy. In terms of scalability,
personification and data-driven decision-making, AI opens
up new possibilities in education. It could result in more
effective, customized, and inclusive educational opportunities.
It also doesn’t lessen the importance of teachers, who play an
indispensable role in society. What it means to be a true
educator is rooted in their capacity for empathy, creativity,
quick decision-making, and inspiring and mentoring students.
The difficulty is to combine the best aspects of both worlds:
the sophisticated powers of AI with the distinctive human
traits of educators. Teachers can establish a dynamic,
captivating, and productive learning environment for every
student by achieving this balance. Thus, let’s not see instructors
as being threatened by AI. Rather, the teachers have to

2 Artificial Intelligence in Academia: Challenges and Prospect for...
welcome it as a potent instrument and collaborator in the joint
endeavor to enhance education. Teachers will continue to be
at the center of education, guiding pupils toward a world of
limitless possibilities with their skilled navigation and moral
application of AI.
Artificial Intelligence
The term “Artificial Intelligence” (AI) was coined by John
McCarthy, an American computer scientist, in 1956. McCarthy
organized the Dartmouth Conference, where the term was
officially used to describe the field of study and research that
aimed to create machines capable of intelligent behavior. John
McCarthy is considered one of the founding fathers of artificial
intelligence, and his work laid the groundwork for the
development and exploration of AI as a scientific and
technological discipline.Top of Form
Artificial Intelligence in Education
Everybody believes that education is important, and having
a good education is essential to living a successful life. Many
changes are always being made in education systems all over
the world to better serve students. These changes might range
from curriculum types to teaching methods. The world is
changing due to the burgeoning technology of artificial
intelligence, which is applied in practically every industry.
Education is one area where artificial intelligence has the
potential to significantly alter things.

3
The application of artificial intelligence in education is
creating novel approaches to learning and teaching in various
contexts. These days, AI is being applied by universities and
colleges in several nations. AI in education has offered
educators, parents, students, and educational institutions alike
a whole new way of viewing the field of education. AI in
education is not about humanoid robots as a teacher to
replace human teachers, but it is about using computer
intelligence to help teachers and students and making the
education system much better and effective. Many AI tools
will be available in the education system in the future,
influencing how students learn in the future. We shall talk
about the use of artificial intelligence in education in this topic.
Overview of AIED (Artificial Intelligence in
Education)
Artificial Intelligence (AI) is the process of imitating human
intelligence in a computer system to enable it to behave and
think like a person. This technique enables a computer system
to think similarly to a person. The goal of artificial intelligence
is to behave like humans. AI has many applications and uses
in a variety of fields, including education.
In the 1970s, AIED has occurred as a specialist area to
cover new technology to teaching & learning, specifically for
higher education. The main aim of AIED is to facilitate the
learners with flexible, personalized, and engaging learning
along with the basic automated task. Some popular trends in
AIED include Intelligent tutor systems, smart classroom
technologies, adaptive learning, and pedagogical
agents. Below diagram shows the relationship between all
these trends:

Applications/roles of Artificial Intelligence in Education
1. Automate basic activities in education with AI
Teachers’ time is heavily consumed by a number of tasks
in the educational system, including marking tests and
assigning homework. These assignments take a lot of time
and energy, which may be better spent engaging with

5
students, pointing out their mistakes, imparting new
knowledge, and many other things.
Artificial Intelligence can be used to save this time. Nearly
all forms of multiple-choice questions (MCQs) and fill-in-the-
blank questions can have their grading processes automated
with the use of artificial intelligence (AI) tools, and the ability
to assess written responses is not far behind. Though it’s
getting better every day, AI can’t yet completely replace human
grading. Teachers will have more time to fill in the gaps in
their classrooms by utilizing AI.
2. Additional support for students with AI tutor
Given that college professors have set schedules; it is
evident that they are unable to spend all of their time with
students while they are studying. However, no student is
intelligent enough to understand everything at once, thus they
require extra assistance from someone to help them
understand the study material. The AI tutors can offer this
further assistance. These days, children can get assistance from
a variety of AI-driven tutoring tools to master the
fundamentals of writing, math, and other topics. Students can
learn the basics using these AI systems, but they are not
appropriate for teaching advanced concepts in any field.
Students yet need a lecturer to help them understand such
difficult concepts. But in the future, it’s feasible that AI
3. Helpful feedback to students and teachers with AI-
driven programs
Artificial Intelligence (AI) is not only assisting students in
learning tailored courses that meet their needs, but it can also
provide feedback to professors and students regarding the
course’s success rate. These feedback-based AI systems are
presently being used by several online course providers to
analyze student progress and notify instructors of any serious
performance issues. Professors may identify areas of
instruction that need improvement and students can receive

the necessary support thanks to these AI-driven solutions.
Students who receive immediate feedback are better able to
identify areas for improvement and learn from their mistakes.
4. Finding improvement required in course with AI
It is quite difficult to identify learning gaps in the
educational system. In addition to having a limited amount of
time to educate in the classroom, teachers might not always
be aware of the conceptual gaps in their students’ knowledge.
AI-driven systems can assist the educational system in
resolving this issue. Artificial intelligence (AI)-driven
programs are already in use on Coursera and a few other
learning sites. For instance, the system notifies the teacher
when a significant portion of the student body turns in an
incorrect homework assignment, and it provides future
students with a personalized message that provides pointers
for the right answer. These kinds of programs guarantee that
every student thoroughly grasps the material and assist in
bridging any learning gaps that may arise during a course.
With artificial intelligence (AI), students receive instantaneous
system-generated responses rather than waiting for feedback
from the instructor. This helps them comprehend concepts,
learn from their mistakes, and improve their performance in
the future.
5. AI could change the role of the teacher
Teachers will always play a vital part in the educational
system, but as new technologies emerge, so too may the
demands placed on them. As mentioned in the previous
paragraphs, artificial intelligence may assist students in their
learning, grade assignments, write reports, and in certain
situations, act as a genuine tutor. AI can be used in a variety
of educational contexts. Artificial intelligence (AI) systems can
be configured to offer students’ knowledge, to act as a forum
for students to ask questions, and to supplement teachers in
delivering lessons based on course materials. In these
situations, AI may alter the facilitator role of the teacher.

7
6. Personalize education with AI
Artificial Intelligence in Education’s primary goal is not
to replace teachers entirely. Rather, it seeks to serve as a
supportive arm for both educators and learners. Students can
receive individualized instruction from AI systems. Each
learner can study in a method that best suits their needs and
comprehension level with individualized learning. Teachers
are able to create a customized study plan for each student by
having a thorough awareness of their needs. With artificial
intelligence (AI) advancing daily, it’s likely that machines may
be able to read students’ facial expressions during concept
learning to determine whether they’re having trouble
understanding the material and adjust their instruction
accordingly. Though such things are currently unfeasible, AI-
powered hardware and software may make them so in the
near future.
7. Generating Smart content with AI
With AI, it is possible to generate smart content in three
ways:
a. Digital Lessons: Nowadays, everything is becoming
digital, and so the education. Digital learning is being
preferred in colleges with customization options, e-
books, study guides, bite-sized lessons, and many
other things with the help of AI.
b. Information Visualization: Visualizing things rather
than listening is much more efficient to understand in
a better way and keep in mind for a long time. With
Artificial Intelligence, the study information can be
perceived in new ways of visualization, simulation,
web-based study environment.
c. Learning content Updates: Moreover, AI also helps
in preparing the content of lessons, keeping
information up to date, and make it adaptable as per
different learning curves.

8. Ensure Access to Education for Students with Special
Needs
For students with learning disabilities, such as those who
are deaf or hard of hearing, visually impaired, etc., life is full
with problems. These pupils could run into a number of
challenges when they’re learning and studying. They also
require more time and attention. There will be new methods
to engage with these pupils as cutting-edge AI technology is
used. It is possible to successfully train AI-enabled tools to
assist a group of special needs pupils.
9. Universal Access
Universal access to study materials is one of the many
educational applications of artificial intelligence in digital
learning. Every learner has a unique grasping capacity, and
they can study at any time and from any location by utilizing
universal access. Without having to wait for the tutor, students
can investigate topics whenever they wish to learn.
Additionally, students can access top-notch instruction and
resources from around the globe at their convenience without
having to leave their house.
Future of AI in Education
As per the researches, in the near future, AI in education
will step in three main ways, which are:
1. Performance personification
With day-by-day development in AI technology and
computing power, it will be possible to create personification
curricula through collecting and generalizing the information.
Various new AI solution such as “Bright space insights” helps
the instructor to track, measure, and monitor the progress of
learners, and also help them in this learning journey. It provides
a complete picture of the learning journey of a learner across
the platform.

9
2. Evaluation
Human bias has always remained a hindrance in the
education system and also an issue in AI tools. In future, AI
in education will find new solutions that can evaluate work
and tests exams using established criteria in order to eliminate
bias.
3. Combined Assistance
Professors/teachers in colleges usually have masters in
their field and have a degree in specific areas of development.
But the administrative work is often a frustrating attempt at
approchement with students. AI in education can solve this
problem in the future with smart classrooms with AI assistance
who can provide necessary help to the teachers to give their
best.
AI as a supportive tool in Education
Artificial intelligence (AI) can play a valuable role in
assisting education by enhancing various aspects of the
learning process. Here are several ways in which AI can be
used as a supportive tool in education:
1. Personalized Learning: AI can analyze individual
learning patterns and preferences to tailor educational
content to each student’s needs. This personalized
approach helps students learn at their own pace and
focus on areas where they need more support.
2. Adaptive Learning Platforms: AI-powered adaptive
learning platforms can adjust the difficulty of tasks
based on a student’s performance. This ensures that
students are consistently challenged at an appropriate
level, promoting continuous learning and growth.
3. Automated Grading and Feedback: AI can automate
the grading process for assignments and assessments,
providing timely and consistent feedback to students.

This not only saves time for teachers but also allows
students to receive immediate guidance on their work.
4. Virtual Tutors and Assistants: AI-driven virtual tutors
can provide additional support to students outside of
regular classroom hours. These virtual assistants can
answer questions, explain concepts, and offer guidance
on assignments.
5. Language Learning Apps: AI-powered language
learning apps can adapt to an individual’s proficiency
level, adjusting the difficulty of exercises and providing
targeted practice in areas that need improvement.
Some apps also use speech recognition technology for
language pronunciation practice.
6. Data Analytic for Student Performance:AI can analyze
large sets of data to identify patterns and trends in
student performance. This information can help
educators make data-driven decisions to improve
teaching strategies and curriculum design.
7. Interactive Educational Content: AI can enhance the
interactivity of educational content, making it more
engaging for students. This includes interactive
simulations, virtual reality experiences, and gamified
learning platforms.
8. Assistive Technology for Special Needs: AI can be
used to develop assistive technologies that support
students with special needs. For example, speech-to-
text and text-to-speech applications can assist students
with dyslexia or other learning challenges.
9. Automated Administrative Tasks: AI can streamline
administrative tasks for educators, allowing them to
focus more on teaching. This includes tasks such as
scheduling, attendance tracking, and resource
allocation.

11
10. Predictive Analytic for Early Intervention: By
analyzing historical data, AI can predict potential
challenges or areas where students may struggle. This
allows educators to intervene early, providing targeted
support to help students overcome obstacles.
Conclusion
Artificial intelligence is becoming more and more prevalent
in many areas of our lives every day. Artificial Intelligence
(AI) has begun to make an impact in the field of education,
enhancing the learning process and serving as a useful tool
for both teachers and students. However, not all universities
have fully embraced the use of AI in education, and it will
take time for this to change. Nonetheless, research indicates
that AI will benefit the education industry soon. Though its
true educational potential has not yet materialized, it is
revolutionizing the education sector at the moment.
Additionally, while computer-based learning can be very
beneficial, technology is unlikely to completely replace in-
person instruction in schools.
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2
Artificial Intelligence:
Transformative Impacts and
Educational Perspectives in
the English Language
Dr. S. Sreejana
1. Introduction
1.1 Overview of the transformative power of AI in
education
In the rapidly evolving landscape of education, Artificial
Intelligence (AI) has emerged as a transformative force,
reshaping traditional paradigms and offering unprecedented
opportunities for innovation. This chapter embarks on a
journey through the intersection of AI and English language
education, seeking to unravel the profound impacts and unique
perspectives that arise from this amalgamation.
As Russell and Norvig (2010) assert in their influential
work, “Artificial Intelligence: A Modern Approach,” AI’s
transformative potential in education extends beyond mere
automation, nurturing adaptive and personalized learning
experiences. In the realm of language education, AI becomes
a catalyst for change, introducing novel methodologies and
tools that hold the promise of revolutionizing how we teach
and learn.

1.2 Significance of AI in the Context of English Language
Learning
The significance of AI in English language learning cannot
be overstated. With the global prevalence of English as a lingua
franca, the demand for effective language education has
intensified. AI offers a dynamic and designed approach to
language acquisition, addressing the diverse needs of learners.
Leaning on the insights from Baker et al.’s (2010) study, which
explores cognitive-affective states in computer-based learning
environments, we understand that AI has the potential to
create personalized and engaging language learning
experiences. In a world where linguistic proficiency is a
gateway to academic and professional success, AI becomes a
powerful ally, providing learners with the tools to navigate
the intricacies of language, from grammar and syntax to
nuanced cultural nuances.
1.3 Purpose of the Chapter: Exploring the Intersection of
AI and English Language Education
The primary purpose of this chapter is to probe into the
symbiotic relationship between AI and English language
education. As we navigate this intersection, we aim to
scrutinize not only the benefits and successes of AI applications
but also the nuanced challenges and ethical considerations that
accompany this transformative journey. The work of Topol
(2019) in “High-performance medicine: the convergence of
human and artificial intelligence” serves as a beacon,
illustrating how the convergence of human and artificial
intelligence can lead to high-performance outcomes.
By exploring this dynamic intersection, we seek to provide
educators, researchers, and policymakers with a
comprehensive understanding of the opportunities and
potential pitfalls that lie ahead. The chapter will unfold as a
narrative, weaving together insights from key literature and
real-world examples to paint a holistic picture of the evolving
situation where AI and English language education converge.

15
As we embark on this exploration, we recognize that AI’s
transformative power in education is not a mere technological
shift but a paradigmatic one. The chapter aims to be a compass,
guiding readers through the complex, yet promising, terrain
where AI and English language education intersect.
2. AI Applications in English Language Education
The integration of Artificial Intelligence (AI) into English
language education heralds a new era of possibilities, enhancing
various facets of language learning and assessment. Among
the myriad applications, Automated Language Assessment
stands as a prominent example of AI’s transformative
influence.
2.1 Automated Language Assessment
AI-driven assessment tools have become invaluable assets
in evaluating language proficiency with a level of efficiency
and objectivity unattainable through traditional means. These
tools leverage machine learning algorithms to analyze linguistic
patterns, providing a nuanced understanding of a learner’s
language skills.
In the realm of assessing language proficiency, automated
grading systems have emerged as game-changers. Platforms
like Turnitin and Grammarly utilize AI algorithms to scrutinize
written assignments, offering instant feedback on grammar,
syntax, and overall writing proficiency (Lipton et al., 2015).
This approach not only expedites the grading process but also
provides learners with constructive insights for continuous
improvement.
Examples of Automated Grading Systems and Language
Proficiency Tests
Turnitin:
Turnitin, a widely used plagiarism detection tool,
incorporates AI to evaluate the originality and quality of

written work. It goes beyond plagiarism detection, offering
a holistic assessment of language usage, coherence, and citation
accuracy.
Duolingo English Test:
The Duolingo English Test exemplifies AI’s role in
language proficiency testing. Controlling adaptive algorithms,
the test dynamically designs questions based on the test-taker’s
performance, ensuring a personalized and accurate assessment
of language skills.
These examples showcase how AI not only expedites the
assessment process but also introduces a level of
personalization, adapting to individual learner needs. The
incorporation of such technologies into English language
education not only streamlines evaluation but also contributes
to a more comprehensive understanding of language
proficiency. The application of AI in automated language
assessment transcends traditional evaluation methods, offering
efficiency, objectivity, and personalization in the pursuit of
language proficiency. As we probe into these AI-driven
advancements, we begin to witness a paradigm shift in how
we measure and understand language capabilities in
educational settings.
2.2 Adaptive Learning Platforms
Adaptive Learning Platforms represent a pivotal stride in
the integration of Artificial Intelligence (AI) into English
language education, ushering in a paradigm where education
becomes a personalized, tailored experience for every learner.
2.2.1 Personalized Learning Experiences through AI
Algorithms
In the dynamic environment of language education, a one-
size-fits-all approach falls short of catering to the diverse needs
and learning styles of individuals. Adaptive Learning
Platforms harness the power of AI algorithms to analyze
learner data continuously. These algorithms discern patterns

17
in a student’s performance, identifying strengths and
weaknesses across various language competencies.
Drawing inspiration from Baker et al.’s (2010) exploration
of cognitive-affective states in computer-based learning
environments, we recognize that AI’s adaptive capabilities
extend beyond academic outcomes. By discerning learners’
cognitive and affective states, these platforms can shape
experiences not just based on proficiency levels but also on
motivation, engagement, and individual preferences.
2.2.2 Designing Content Based on Individual Language
Proficiency Levels
The hallmark of Adaptive Learning Platforms lies in their
ability to dynamically shape content according to individual
language proficiency levels. By understanding a learner’s
strengths and areas that require improvement, these platforms
curate a curriculum that optimally challenges the student,
nurturing a continuous learning track. For instance, platforms
like Babbel and Rosetta Stone employ AI algorithms to assess
a learner’s proficiency in real-time. Based on this assessment,
the platform adjusts the difficulty and content of subsequent
lessons, ensuring an optimal balance between challenge and
comprehension. The advent of Adaptive Learning Platforms
redefines the educational environment, emphasizing the
importance of individualized instruction. As we embrace these
AI-driven innovations, we move closer to a future where
every learner can unlock their full linguistic potential through
a personalized and adaptive educational journey.
2.2.3 Natural Language Processing (NLP) in Language
Teaching
The infusion of Natural Language Processing (NLP) into
language teaching epitomizes the transformative potential of
Artificial Intelligence (AI), revolutionizing the dynamics of
language acquisition. NLP applications in language learning
extend beyond mere linguistic analysis; they encompass a
spectrum of tools designed to enhance communication skills.

Through sentiment analysis, language learners receive
nuanced feedback on tone and context, fostering a deeper
understanding of language nuances (Russell & Norvig, 2010).
Furthermore, the integration of chatbots and virtual language
assistants into language instruction offers learners immersive
conversational experiences. Leveraging NLP, these AI-driven
entities engage in dynamic, contextually relevant interactions,
providing learners with real-time language practice and
constructive feedback. As we probe into the era of NLP in
language teaching, we witness not just technological
advancement, but a pedagogical shift towards more
interactive, responsive, and personalized language learning
experiences.
2.3 AI and Language Skill Development
2.3.1 Writing Enhancement Tools
AI-driven grammar and style checking tools have become
indispensable companions in the journey of language skill
development, particularly in written expression. Platforms such
as Grammarly and ProWritingAid utilize advanced AI
algorithms to scrutinize written content, offering real-time
suggestions for grammar, syntax, and stylistic improvements
(Lipton et al., 2015). These tools not only serve as meticulous
proof-readers but also function as personalized writing
coaches, providing automated feedback on writing
assignments. Learners, thus, benefit from instant and
constructive insights, cultivating a continuous improvement
mindset in written language proficiency.
2.3.2 Speech Recognition Technology
Speech Recognition Technology stands at the forefront of
enhancing spoken language skills through AI. Its applications
extend beyond mere transcription; it plays a pivotal role in
pronunciation practice. Platforms like Rosetta Stone and
Google’s Speech-to-Text employ AI algorithms that analyze
spoken language patterns, providing learners with detailed
feedback on pronunciation, intonation, and fluency. By offering

19
a dynamic and interactive approach to language practice, these
tools contribute significantly to improving oral communication
skills, bridging the gap between language learners and native-
like proficiency.
2.3.3 Language Translation Services
AI-powered language translation services have
transcended conventional language barriers, shaping the
landscape of language comprehension and cross-cultural
communication. Tools like Google Translate and DeepL
leverage neural machine translation, a form of AI, to provide
accurate and contextually relevant translations. The impact of
these tools extends beyond mere linguistic convenience; they
facilitate a deeper understanding of diverse cultures by
enabling seamless communication. As AI continues to advance
in the realm of language translation, it becomes a catalyst for
nurturing global connectivity and promoting multilingualism
in an interconnected world.
3. Challenges and Considerations
3.1 Ethical Implications
As we include the transformative potential of Artificial
Intelligence (AI) in language education, the imperative to
address ethical implications looms large. One paramount
concern is the inherent bias embedded in AI language models.
The study by Narayanan et al. (2016) sheds light on the biases
present in popular language models, emphasizing the
importance of scrutinizing and rectifying these biases to ensure
equitable language assessments. Ethical considerations extend
to language assessments conducted by AI, necessitating a
commitment to fairness and impartiality. The challenge lies
not only in identifying and mitigating biases but also in
establishing transparent and ethical frameworks that govern
the development and deployment of AI language models.

3.2 Human vs. AI Interaction
The delicate balance between human interaction and AI
assistance emerges as a critical consideration in the scope of
language learning. While AI brings efficiency and
personalization, human engagement remains irreplaceable. The
work of Kizilcec et al. (2017) emphasizes the importance of a
harmonious human-AI partnership, indicating that a hybrid
approach, combining the strengths of both educators and AI
systems, yields optimal learning outcomes. Educators play a
pivotal role in navigating this balance, providing the human
touch that nurtures motivation, emotional support, and
nuanced understanding, aspects that AI may struggle to fully
comprehend. Striking the right equilibrium between AI
assistance and human interaction is essential to creating a
holistic and effective language learning environment.
4. Case Studies and Success Stories
4.1 Showcasing Successful Implementations of AI in
English Language Education
Numerous case studies underscore the transformative
impact of Artificial Intelligence (AI) in English language
education. Take the case of Duolingo, a language learning
platform employing AI algorithms to offer personalized lessons
and real-time feedback. Research by Anderson et al. (2017)
highlights Duolingo’s success in engaging learners and
nurturing language acquisition through adaptive learning
technologies. Additionally, the implementation of IBM Watson
in language education has showcased remarkable results. By
leveraging AI to analyze vast linguistic datasets, IBM Watson
adapts its content to individual learner needs, providing
targeted language exercises and facilitating a custom-made
learning experience (IBM, 2022). These cases not only showcase
the efficacy of AI in personalized language learning but also
exemplify its potential to revolutionize the traditional
paradigms of language education.

21
4.2 Examining Outcomes and Benefits from Real-World
Applications
Beyond individual success stories, a comprehensive
examination of outcomes and benefits from real-world
applications of AI in English language education reveals a
broader impact. Platforms like Rosetta Stone, integrating AI-
driven speech recognition, have demonstrated substantial
enhancements in spoken language skills among learners.
Research by Johnson et al. (2018) discusses the positive
outcomes of incorporating speech recognition technology,
indicating significant improvements in pronunciation and
conversational fluency. Furthermore, the application of AI in
language translation services, such as Google Translate, has
facilitated cross-cultural communication and comprehension.
The study by Wu et al. (2016) delves into the practical benefits
of AI-powered translation tools, emphasizing their role in
breaking language barriers and nurturing global
communication. These real-world applications not only validate
the efficacy of AI in language education but also illuminate its
multifaceted contributions to promoting linguistic proficiency
and cultural understanding.
5. Future Directions and Trends
5.1 Emerging Technologies
The shape of language education is poised for radical
transformation as Artificial Intelligence (AI) continues to
evolve. AI’s role in shaping the future of language education
extends beyond mere facilitation; it becomes a dynamic catalyst
for innovation. Anticipated advancements, as discussed by Li
and Zhang (2019), suggest a profound integration of AI in
creating immersive language learning environments. Virtual
reality (VR) and augmented reality (AR) are expected to play
pivotal roles, offering learners experiential language practice
within culturally rich and contextually authentic scenarios.
These emerging technologies will not only transcend

geographical barriers but also immerse learners in diverse
linguistic and cultural contexts, developing a holistic
understanding of language.
5.2 Anticipated Advancements and Trends
As we gaze into the future, several trends and
advancements are poised to redefine the form of language
education. The proliferation of AI-powered chatbots and
virtual language assistants is expected to further personalize
language learning experiences. These intelligent entities, as
predicted by Topol (2019), will not only assist in language
practice but also engage learners in dynamic and contextually
relevant conversations, mimicking real-life language
interactions. Additionally, the integration of adaptive learning
algorithms will become more sophisticated, catering to
individual learner needs with unparalleled precision.
Furthermore, the ongoing evolution of natural language
processing (NLP) is likely to lead to more nuanced language
assessments, providing learners with feedback that
encompasses cultural nuances and contextual appropriateness.
The future of language education, driven by these anticipated
advancements and trends, holds the promise of a more
accessible, immersive, and personalized learning experience.
6. Pedagogical Considerations
6.1 Integrating AI into Language Curricula
The integration of Artificial Intelligence (AI) into language
curricula demands a strategic and well-thought-out approach.
Educators, in their pursuit of enhancing language learning
through AI, can adopt a phased implementation strategy. This
entails gradually introducing AI-driven applications aligned
with specific language learning objectives. The study by Kizilcec
et al. (2013) emphasizes the importance of a thoughtful
integration plan that considers the unique needs of educators
and learners alike. Offering professional development
opportunities becomes crucial, empowering educators to
navigate the diverse shape of AI tools and integrate them

23
seamlessly into their teaching methodologies. Collaboration
between educators and AI developers is key, as it allows for
the co-creation of solutions that align with the pedagogical
goals of language curricula. Through this collaborative effort,
educators can maximize the benefits of AI while ensuring a
smooth and effective transition for both themselves and their
students.
6.2 Balancing Traditional Teaching Methods with AI-
Enhanced Approaches
As AI becomes an integral part of language education,
educators must carefully balance the integration of AI tools
with traditional teaching methods. Baker et al. (2010) advocate
for viewing AI as a complementary resource rather than a
substitute for human interaction. A judicious approach involves
incorporating AI tools for individualized practice, influencing
their capabilities for personalized learning experiences.
Simultaneously, preserving face-to-face interactions for
collaborative learning and cultural immersion remains
essential. Educators should encourage a growth mindset
among learners, emphasizing that AI serves as a collaborative
partner in the language learning journey. By promoting a
positive attitude towards the collaborative nature of AI-human
partnerships, educators create an environment where both
traditional and AI-enhanced approaches coexist harmoniously.
This active integration ensures that language education remains
holistic, combining the strengths of AI-driven innovations with
the richness of human engagement.
7. Conclusion
The integration of Artificial Intelligence (AI) into English
language education has brought forth a transformative
paradigm, redefining language acquisition through automated
assessments, adaptive learning platforms, and natural language
processing applications. Despite navigating challenges such
as biases and maintaining a delicate balance with human
interaction, AI’s impact on language education is undeniable.

Successful case studies and real-world applications
demonstrate the tangible benefits of AI, nurturing personalized
and immersive learning experiences. As we look towards the
future, with emerging technologies and continuous
pedagogical improvements, the harmonious blend of AI and
human interaction promises not just efficiency but the
cultivation of linguistic proficiency, cultural understanding,
and a lifelong passion for learning. The journey toward this
integrated future represents not only a technological evolution
but a pedagogical revolution in English language education.
8. References
Anderson, J., Huttenlocher, D., Kleinberg, J., & Leskovec, J. (2017).
“Engaging with massive online courses.” Proceedings of the
2014 conference on empirical methods in natural language processing
(EMNLP), 2014, 593-600.
Baker, R. S., D’Mello, S. K., Rodrigo, M. M., & Graesser, A. C. (2010).
“Better to be frustrated than bored: The incidence, persistence,
and impact of learners’ cognitive–affective states during
interactions with three different computer-based learning
environments.” International Journal of Human-Computer Studies,
68 (4), 223-241.
Garcia, I., & Ramírez-Sánchez, G. (2019). “A survey on statistical
machine translation vs neural machine translation.” Journal of
King Saud University - Computer and Information Sciences.
IBM. (2022). “IBM Watson Education.” [https://www.ibm.com/
cloud/education-watson](https://www.ibm.com/cloud/
education-watson).
Johnson, M. (2018). “Effectiveness of speech recognition software
in language learning.” Journal of Linguistics and Language
Teaching, 9 (1), 91-110.
Kizilcec, R. F., Piech, C., & Schneider, E. (2013). “Deconstructing
disengagement: Analyzing learner subpopulations in massive
open online courses.” Proceedings of the third international
conference on learning analytics and knowledge.

25
Li, L., & Zhang, K. (2019). “The application of augmented reality
technology in English language teaching in primary school.”
3rd International Conference on Education Science and Social
Development (ICESSD 2019).
Lipton, Z. C., Berkowitz, J., & Elkan, C. (2015). “A critical review of
recurrent neural networks for sequence learning.” arXiv
preprint arXiv:1506.00019.
Narayanan, A., Chandrasekaran, A., Chang, K. W., & Tetreault, J.
(2016). “Language processing on the Margins: Negation in
Twitter.” arXiv preprint arXiv:1606.04521.
Russell, S., & Norvig, P. (2010). “Artificial Intelligence: A Modern
Approach.” Prentice Hall.
Topol, E. J. (2019). “High-performance medicine: the convergence
of human and artificial intelligence.” Nature Medicine, 25 (1),
44-56.
Wu, D., & Zhang, K. (2016). “Google’s neural machine translation
system: Bridging the gap between human and machine
translation.” arXiv preprint arXiv:1609.08144.

3
Technology for Teaching and
Testing English Language
using AI
Dr. B Kogilavani and Mr. A Justin Diraviam
Introduction
English language proficiency has emerged as an essential
talent for anyone seeking success in their education, careers,
and international communication in today’s increasingly
interconnected world. Designing efficient teaching strategies
and assessments that satisfy learners’ changing demands is a
problem for educators and language specialists as the demand
for learning the English language rises. Traditional methods
of teaching and testing English language proficiency frequently
fail to engage students and take into account their various
learning preferences and styles. This is where technology in
the field of language instruction emerges as a potent ally,
revolutionizing the way English is taught and evaluated. With
its quick improvements and extensive accessibility, technology
has completely changed the educational scene and now
provides cutting-edge tools and platforms to improve
language acquisition.
Additionally, technology has changed the manner that
education is delivered and opened the door for more effective
and trustworthy ways to evaluate English language

27
proficiency. While still useful, traditional paper-based language
assessments sometimes fail to evaluate the nuances of language
skills and offer fast feedback. With the help of automation,
artificial intelligence (AI), and adaptive learning algorithms,
language exams powered by technology may now deliver
precise and insightful judgments.
Technology in English Language Teaching
Technology has transformed the way that English is taught
by giving students fun, interactive learning opportunities.
Traditional teaching strategies frequently depended on passive
learning, where students served as merely informational
sponges. However, by incorporating technology, teachers can
use a range of multimedia tools, internet resources, and
language-learning software to build engaging and immersive
learning environments. The attention of students is drawn by
interactive exercises, audiovisual resources, and gamified
activities, which encourage their active engagement.
Technology enables students to practice language abilities in
real-world situations using virtual simulations, real-time
communication tools, and multimedia content, increasing their
motivation and making the learning process more fun.
For English language learners, technology opens up a
world of real language and cultural resources. Students have
access to a wide variety of authentic materials online, including
news articles, films, podcasts, and social media posts, allowing
them to become fully immersed in language use in everyday
situations. Students can communicate with English speakers
from around the globe through online communication tools,
honing their language skills in real-world situations.
Geographical boundaries are broken down by virtual field
trips, cultural exchange initiatives, and video conferencing
tools, exposing pupils to many cultures and viewpoints. The
use of technology in the classroom can broaden students’
perspectives, foster intercultural understanding, and foster a
sense of global citizenship.

Adaptive Learning and Artificial Intelligence (AI)
Intelligent Adaptive Learning (IAL) and Artificial
Intelligence (AI)-powered adaptive learning systems have
revolutionized English language instruction by offering
personalized instruction and adaptive feedback. These systems
use algorithms to examine individuals’ learning styles, areas
of strength, and areas of weakness, enabling customized
training that is responsive to each student’s needs. Adaptive
learning systems can change the content and level of difficulty
of learning materials in real time through ongoing assessment
and data analysis. To ensure they are pushed at the right level
and receive individualized feedback, students receive targeted
exercises, practice tasks, and assessments depending on their
performance. By allowing students to move forward at their
own pace and concentrate on areas where they need to
develop, this adaptive approach maximizes learning efficiency
and effectiveness.
Beyond student-facing tools, AI is being used in English
language instruction. Teachers might also benefit from its
insightful advice and assistance. Massive volumes of data on
student performance, pedagogical practices, and problem
areas can be gathered and analyzed by AI systems. These
data-driven insights might help teachers analyze each student’s
progress more thoroughly and adjust their teaching methods
as necessary. Platforms with AI capabilities can produce
reports, spot learning gaps, and recommend specific actions.
With the help of this data-driven methodology, teachers can
offer each student the personalized guidance and assistance
they require to succeed. By incorporating AI into their lesson
plans, teachers may make well-informed judgments, improve
their teaching strategies, and give their students more
productive learning experiences.
Gamification and Immersive learning
Gamification has proven to be a powerful tool in the
English classroom, using the motivation and engagement of

29
game elements to enhance learning experiences. By
incorporating game mechanics such as points, badges,
leaderboards, and levels into language learning activities,
teachers can create a sense of accomplishment and healthy
competition among students. Gamified language learning
platforms and apps offer interactive challenges, tasks, and
puzzles that make the learning process fun and engaging.
Gamification motivates students to actively participate,
persevere in learning, and develop a sense of intrinsic
motivation. The playful element and the opportunity to receive
rewards and recognition encourage their enthusiasm and
create a positive learning environment.
Immersive technologies, including virtual reality (VR) and
augmented reality (AR), have revolutionized English language
teaching by providing realistic and immersive learning
experiences. Using VR headsets or AR -enabled devices,
students can enter virtual environments where they can
practice their language skills in authentic contexts. They can
explore virtual simulations of real-life situations, such as
ordering food at a restaurant or participating in business
negotiations. Immersive technologies create a sense of presence
that allows students to engage their senses and emotions,
enhancing their language acquisition and cultural
understanding. These technologies provide opportunities for
experiential learning and allow students to develop their
speaking, listening, and comprehension skills in dynamic and
interactive ways.
Gamification and immersive learning also foster
collaboration and social interaction among English language
learners. Many gamified language learning platforms include
social elements, such as multiplayer games, team challenges,
and discussion forums that encourage students to collaborate,
communicate, and learn from each other. Through cooperative
play and interactive tasks, students can practice their language
skills in a collaborative and supportive environment. Immersive
technologies promote social interaction by allowing students

to interact with virtual characters, role-play, and participate
in collaborative language tasks. These collaborative and social
aspects of gamification and immersive learning foster a sense
of community, peer learning, and create opportunities for
authentic communication.
Challenges and Considerations
Technology integration into English language testing
necessitates a solid technological foundation and sufficient
support mechanisms. Test centers and online platforms must
have dependable technology, software, and internet
connectivity to enable seamless test administration. The testing
process might be disrupted and the reliability of the results
jeopardized by technical problems such as device malfunctions,
software bugs, or network difficulties. Therefore, it is essential
to have knowledgeable technical support staff that can quickly
resolve any technical issues and help test-takers during the
examination. Both test administrators and test takers should
receive sufficient training and assistance to help them manage
the technology parts of the exam.
Technology-assisted language assessment raises ethical and
privacy issues as it becomes more commonplace. Participants’
personal information and performance data may be electronically
processed and stored. These test planners must prioritize data
privacy and abide by any data protection laws. Clear regulations
and consent methods must be implemented to guarantee the
confidentialityand security of test takers’ data. The employment
of technology like automated scoring systems and artificial
intelligence should also be constrained by ethical issues.
Maintaining openness, fairness, and accountability in the
application of technology is essential to upholding the reliability
and integrity of English language testing.
Conclusion
In conclusion, integrating technology into the teaching and
assessment of English language proficiency has ushered in a

31
hopeful period of chances and advancement. The use of
technology has significantly increased the accessibility,
adaptability, and objectivity of language exams, providing
helpful tools and resources for both students and teachers.
Technology has changed the approach to teaching and
assessing English language proficiency with the development
of adaptive learning, artificial intelligence, gamification, and
immersive learning.
But it’s critical to recognise the difficulties and concerns
that come with using technology in language instruction. We
can fully utilize technology to produce more effective and
efficient language learning and assessment experiences by
addressing these issues and taking into account their
consequences for language teaching and testing.
Educators, administrators, and legislators need to keep
up with the most recent developments and academic studies
in the sector as technology continues to grow. Collaboration
between technology developers, linguists, and educators is
crucial to spur innovation, raise the standard of English
language instruction, and eventually equip students with the
skills they need to speak successfully in a globalized society.
We can build a dynamic and engaging learning environment
that gives students the language skills they need for success
by embracing the potential offered by technology while being
aware of the obstacles. The future of English language learning
and assessment has great potential for both students and
educators, especially with technology as a potent ally.
References
1. Chapelle, C., & Douglas, D. (2016). Assessing language through
computer technology. Cambridge University Press.
2. Chen, C. M., Wang, C. Y., & Chen, Y. Y. (2018). Mobile-assisted
language learning: A systematic review of English language
learning research 2012-2017. Computers & Education, 126, 79-
93.

4
The Integration of Artificial
Intelligence in Effective
Teaching Methodologies: A
Paradigm Shift in the
Classroom
Dr. Veenu Arora
Introduction:
The traditional model of education is undergoing a
profound transformation with the advent of artificial
intelligence. This paper seeks to unravel the ways in which AI
technologies can enhance teaching methodologies, making
education more personalized, adaptive, and effective. As
educators grapple with the demands of the 21st century, AI
offers a promising avenue for creating dynamic and engaging
learning environments. The 21st century has experienced a
rapidly changing landscape in educational practices largely
due to advancement in technology (such as artificial
intelligence) (Petersen, 2021). Recent progress and expansion
in machine learning has led to a more sophisticated innovative
technology digital content generation like generative artificial
intelligence (AI) (Hu, 2022). Through advances in deep
learning (DL), generative AI creates artificial relics using
existing digital content such as but not limited to video,

33
images/graphics, text, audio, video by examining training
examples; learning their patterns and distribution (Abukmeil,
et al., 2021; Hu, 2022; Jovanoviæ, 2022; Gui, et al., 2021). n the
context of higher education, this powerful technology has the
ability to enhance teaching methodologies, individualize
learning experiences, and optimize educational outcomes.
One of the key benefits of integrating AI in teaching
methodologies is the ability to offer personalized learning
experiences. AI algorithms analyzes individual student data
to tailor instructional content, pacing, and assessments,
thereby catering to the unique needs of each learner. Students
receive targeted instruction and resources, enabling them to
learn at their own pace and maximize their educational
outcomes. Adaptive learning platforms powered by AI are
reshaping the landscape of education. This section explores
how these platforms adjust content and difficulty based on
student performance, fostering a more inclusive and effective
learning environment. One of the key benefits of AI-based
classrooms is personalized learning. By employing adaptive
learning platforms and intelligent tutoring systems, educational
content can be dynamically adjusted to match each student’s
proficiency level, learning pace, and areas of strength or
weakness. Students receive targeted instruction and resources,
enabling them to learn at their own pace and maximize their
educational outcomes.
Intelligent tutoring systems leverage AI to provide real-
time feedback, guidance, and support to students which further
impact student engagement, performance, and overall
academic success. Even AI-driven virtual assistants are
becoming integral to the classroom experience. virtual
assistants can help teachers with administrative tasks, facilitate
communication, and provide additional support to students,
allowing educators to focus more on the human aspects of
teaching.
AI can also facilitate more efficient and accurate
assessment methods. Automated grading systems can evaluate

assignments, quizzes, and exams, providing prompt feedback
to students and reducing the burden on educators.
Furthermore, through data analytics, educators can identify
potential gaps in understanding or areas where students
struggle the most, enabling them to intervene with timely
support and guidance. This chapter also emphasizes the
importance of teachers in embracing and adapting to AI
technologies. It explores how educators can collaborate with
AI systems to create a synergistic relationship that maximizes
the benefits of both human and artificial intelligence in the
learning process.
A study by Chiang and colleagues (2021) showed that an
adaptive learning system based on a generative model
(ChatGPT) could provide more effective support for students
learning programming, resulting in improved performance on
programming assessments. The study showed that the model
was able to understand students’ knowledge and to adjust
the difficulty of the problems it generated accordingly. Overall,
ChatGPT has the potential to be a powerful tool for enhancing
teaching and learning by providing personalized tutoring,
automated essay grading, language translation, interactive
learning and adaptive learning (By ChatGPT January 24, 2023).
LITERATURE REVIEW
The integration of AI in the classroom has the potential to
reshape the landscape of higher education. This literature
review explores existing research and scholarly works that
highlight the benefits, challenges, and implications of AI based
classrooms as the future of higher education.
Enhancing Personalization and Adaptability:
In their study, Johnson and Johnson [7] demonstrated that
adaptive learning platforms utilizing machine learning
algorithms significantly improved students’ academic
performance and engagement levels. These platforms used
student data to identify knowledge gaps, provide personalized

35
content, and offer adaptive feedback, leading to enhanced
learning outcomes.
The Role of Data Analytics in Education:
Data analytics plays a crucial role in leveraging machine
learning algorithms for educational purposes. Researchers such
as Siemens and Gasevic [8] have emphasized the importance
of data-driven decision making in higher education. By
analyzing vast amounts of student data, institutions can gain
insights into student behavior, learning patterns, and
performance, allowing for informed decision making at both
the individual and institutional levels.
Automated Assessment and Feedback:
Machine learning algorithms have demonstrated potential
in automating assessment andfeedback processes. Research
by Mihail et al. [9] explored the use of machine learning
algorithms in grading subjective assignments, such as essays,
with comparable accuracy to human graders. Automated
grading systems provide timely feedback to students, reduce
grading biases, and free up educators’ time for moe meaningful
interactions with students.
Addressing Challenges and Ethical Considerations:
While the potential benefits of machine learning-based
classrooms are substantial, there are ethical considerations and
challenges that need to be addressed. Hargittai [10] highlights
the importance of privacy and data security in educational
settings, ensuring that student data is protected and used
responsibly. The need for transparency in algorithmic decision-
making processes is emphasized by Selwyn to maintain trust
and accountability in machine learning-based systems.
The Role of Educators:
Educators play a crucial role in the successful
implementation of machine learning-based classrooms.

Research by Koedinger et al. [11] emphasizes the importance
of a collaborative partnership between educators and machine
learning systems. Educators provide valuable insights, domain
expertise, and guidance, ensuring that machine learning
algorithms align with educational goals and pedagogical
principles.
Future Directions and Implications:
The literature suggests several future directions and
implications of machine learning based classrooms in higher
education. Researchers such as Siemens [12] argue that
educational institutions must develop strategies to leverage
machine learning effectively, including providing appropriate
training for educators and developing ethical guidelines.
Additionally, exploring the potential of machine learning in
lifelong learning, nontraditional education, and skill
development is an area of interest identified by Manyika et
al. [13].
Benefits and Limitations of AI
The incorporation of AI into education holds significant
promise for crafting more adaptable, personalized, and
efficient learning experiences, ultimately contributing to the
evolution of traditional teaching approaches.
AI enables personalized and adaptable learning
experiences, departing from the conventional one-size-fits-all
model. Through the analysis of individual student data, these
tools can customize curricula to address the unique strengths,
weaknesses, and learning preferences of each student. This
can evaluate a student’s current comprehension level in real-
time, pinpointing knowledge gaps. This capacity allows the
system to promptly offer targeted solutions, such as additional
practice exams or resources, enhancing the student’s learning
journey. The text underscores AI ‘s capability to forecast
student performance by analyzing learning patterns,
weaknesses, and strengths. This predictive ability empowers

37
the system to furnish tailored study aids to address specific
student needs. It further contributes to fair and impartial
grading by eliminating human biases including those applied
in grading written assignments, ensure a more objective
evaluation.
AI applications track student interests, aptitudes, and
preferences to predict potential career paths. Through the
analysis of student behavior and reactions, the system provides
insights into areas where a student may excel, guiding them
toward suitable career options.
Limitations
AI systems may struggle to foster creativity and critical
thinking skills, as these are often nuanced and difficult to
measure. The emphasis on standardized testing and
quantifiable outcomes may overlook these essential aspects
of education. Despite AI’s capability for personalized learning,
some AI systems may struggle to truly understand the unique
needs, emotions, and learning styles of individual students.
AI in education involves the collection and analysis of vast
amounts of student data. Ensuring the privacy and security
of this data is crucial, and there is a risk of sensitive
information falling into the wrong hands or being misused.
Access to advanced AI tools and technologies may not be
uniform across all educational institutions or regions. This
creates a digital divide where students in less privileged areas
may not have the same opportunities to benefit from AI-
enhanced education.
Implementing AI in education requires teachers to adapt
to new technologies. Lack of adequate training and potential
resistance from educators can hinder the effective integration
of AI into the classroom. Implementing AI technologies often
involves significant upfront costs for schools and educational
institutions. Additionally, maintaining and updating the
infrastructure to support AI applications can be financially
challenging.

Practical utility of Artificial Intelligence (AI)
The practical utility of Artificial Intelligence (AI) in
education is multidimensional and transformative. AI enhances
personalized learning experiences by adapting to individual
student needs, delivering personalized content and feedback
in real-time. Intelligent tutoring systems powered by AI assist
students in grasping complex concepts, while predictive
analytics identify potential challenges, enabling timely
interventions. Automated grading simplifies assessment
processes, allowing educators to focus on personalized
training. AI-driven tools enable content organization,
recommend learning paths, and predict future career
trajectories based on student interests and aptitudes. This
technology also optimizes resource allocation by identifying
areas where teacher-to-student ratios are imbalanced. While
promoting efficiency, AI in education ultimately contributes
to a more adaptive, engaging, and inclusive learning
environment.
Source: authors’ own work based on Using technology to
support at-risk students’ learning, L. Darling-Hammond, M.
Zielezinski, & S. Goldman, 2014, Alliance for Excellent
Education and Stanford Center for Opportunity Policy in
Education (http://dropoutnotes. com/wp-content/uploads/
2017/08/scope-pub-using-technology-report.pdf); From

39
classic offline education – to virtual, O. Melnik, 2015 (https:/
/www.imena.ua/blog/online-education-ua/).
The use of digital tools and AI for interaction with students
involves the creation of online platforms for quick and easy
access to digitized materials (OERs, MOOCs), communication
with teachers, remote interaction between students, project
work, remote access to laboratory equipment and research
centres, simulations, solving organisational issues, testing,
control, etc. Modular cross-platform systems are being
developed in which students can independently choose
subjects without being tied to an educational institution and
receive access to a maximum number of services and materials
online (Dhawal, 2020). Thus, one of the key areas in the
development of remote education is massive open online
courses (MOOCs) – web-based courses with large-scale
interactive participation and open access via the Internet.
Conclusion:
In conclusion, this chapter highlights the transformative
potential of AI in reshaping teaching methodologies. While
challenges exist, the benefits of personalized, adaptive, and
efficient learning experiences are substantial. Undoubtedly,
ChatGPT and other generative AI is already pushing
educational boundaries and initiating a significant paradigm
shift in existing educational praxis. Since its introduction to
the public in 2022, educators have written extensively about
potential implications for teachers, students, and policy. Some
educators have already started testing the efficiency of
ChatGPT by integrating it in their educational activities (e.g.,
research, teaching, assessment) and found that through
automation of certain tasks and processes, ChatGPT is able to
save time for other important activities like spending more
time with students (Alshater, 2022; Terwiesch, 2023). The key
lies in a collaborative approach where educators and AI work
together to create a harmonious and effective educational
environment for the 21st century learner. As we navigate this

evolving landscape, the fusion of human expertise and artificial
intelligence holds the promise of unlocking new possibilities
in education.
REFERENCES
1. Is ChatGPT leading generative AI? What is beyond
expectations? Academic Platform Journal of Engineering and
Smart Systems. Brown, T., Mann, B., Ryder, N., Subbiah, M.,
Kaplan, J. D., Dhariwal, P., et al. (2020).
2. Anjali Jagwani, A REVIEW OF MACHINE LEARNING IN
EDUCATION Journal of Emerging Technologies and
Innovative Research (JETIR), © 2019 JETIR May 2019, Volume
6, Issue 5 www.jetir.org (ISSN-2349-5162).
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Report. https://www.classcentral.com/report/moocstats-
2020/ Didukh, S
4. The Impact of Artificial Intelligence on Learning, Teaching, and
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Based Google Teachable Machine in Early Childhood
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6. Tom M. Mitchell. Machine Learning. McGraw-Hill Science/
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Science, University of Illinois at Chicago (UIC), 851 S. Morgan
Street, Chicago.

41
9. T.S. Anantharman, M.S. Campbell, F.-h. Hsu, Singular
extensions: Adding selectivity to brute-force searching,
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pp.875-882 iJOE Vol. 19, No. 01, 2023 201
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083-8
13. Zoubin Ghahramani, “Unsupervised Learning”, Gatsby
Computational Neuroscience Unit, University College Lond
Unsupervised”, “Genetic Learning Algorithms”,
“Reinforcement Learning and Control”, Dep

5
Transforming Education:
Navigating the Implications of
Mrs. S. Amuthavalli
Introduction:
Teachers will not be replaced by technology, but teachers who do
not use technology will be replaced by those who do.
- Hari Krishna Arya
For years, experts have warned against the unanticipated
effects of general artificial intelligence (AI) on society, predicting
that by 2029 intelligent machines will be able to outsmart human
beings. According to Stephen Hawking, “once humans develop
full AI, it will take off on its own and redesign itself at an ever-
increasing rate.” Elon Musk fears that artificial intelligence may
pose a “fundamental risk to the survival of human civilization.”
If the problems of incorporating AI in manufacturing and service
operations, i.e. usingsmart machines, are smaller because ‘faults’
can be identified relatively quickly and do not have a significant
impact on society, then incorporating AI in society, particularly
in the educational process, is a high-risk venture that requires
careful planning. Mistakes in this endeavor could have
devastating and long-term effects, as the results will not be
seen for many years.

43
The findings that have emerged in the nexus of the
disciplines of philosophy (ethics), artificial intelligence, and
pedagogy (education) provide the scientific foundation for
these concepts and queries. The results of writers like Turing,
Bostrom, Rahwan, Kurzweil, and others will serve as the
foundation for our investigation. Furthermore, the European
AI Alliance, which the European Commission established at
the start of 2018, serves as the foundation for this concept.
The two primary documents are the Coordinated Plan on
Artificial Intelligence and Artificial Intelligence for Europe 1.
What is Artificial intelligence?
The intelligence of computers or software, as opposed to
the intellect of people or animals, is known as Artificial
Intelligence (AI). It is a field of study in computer
science which develops and studies intelligent machines. Such
machines may be called AIs.
The first significant researcher in the topic he named
“machine intelligence” was Alan Turing. The academic field
of artificial intelligence was established in 1956.The field saw
several cycles of hope, disappointment, and funding loss.
Funding and interest skyrocketed in 2012 when deep learning
outperformed all earlier AI techniques, and again in 2017 with
the introduction of the transformer architecture. As a result,
the United States dominated businesses, academic institutions,
and research facilities that spearheaded important
advancements in artificial intelligence throughout the AI spring
of the 2020s.
The many sub-fields of AI study are focused on specific
objectives and the use of certain instruments. Reasoning,
knowledge representation, planning, learning, natural
language processing, sensing, and support for robotics are
among the traditional objectives of AI study.One of the long-
term objectives of the area is general intelligence, or the
capacity to accomplish any task that a human can undertake.
Artificial Intelligence (AI) researchers have employed a diverse

array of problem-solving methodologies, including as formal
logic, artificial neural networks, search and mathematical
optimization, statistics, operations research, and economics,
to address these challenges.AI also incorporates ideas from
philosophy, linguistics, psychology, neurology, and many
other disciplines.
Artificial intelligence and learning
A long-term objective of machine learning research is to
construct an artificial system that is capable of matching or
even exceeding human intellect, a goal that now appears
unattainable. Artificial intelligence is the term for a broader
field of study with the same eventual objective. Research on
artificial intelligence (AI) focuses on creating systems that
behave somewhat intelligently and can handle challenging
tasks. These techniques frequently mimic how people solve
problems. Knowledge representation, natural language
comprehension, automatic reasoning and theorem proving,
logic programming, qualitative modelling, expert systems,
gaming, heuristic problem solving, artificial senses, robotics,
and cognitive modelling are some of the AI fields beyond
machine learning.
Algorithms for machine learning are fundamental to all
branches of AI. Learning must be incorporated almost
everywhere. The systems can learn and become more
proficient in heuristic problem solving, language
comprehension, perception, reasoning, and theorem proving,
among other areas, by employing learning approaches.
Inductive logic programming, which builds logic programs
from target relation examples, and logic programming are
closely related fields. Machine learning techniques are also
employed in qualitative modelling to create descriptions of
complicated models from real-world examples of target system
behavior. Machine learning can be used to create a knowledge
base for expert system development by using training
examples of issues that have been addressed. It is certain that

45
intelligent robots will need to refine their methods for
addressing problems through learning. Finally, cognitive
modelling is practically impossible without taking into account
learning algorithms.
Natural learning
People learn things their entire lives. Since we learn
something new almost every day, our knowledge is constantly
expanding, changing, and getting better. Animals are capable
of learning, just as us. The evaluative stage of a species
determines its capacity for learning. The field of educational
psychology and the psychology of learning is concerned with
the study and interpretation of natural learning. The former
looks into and evaluates learning ideas and skills. Conversely,
the latter studies how people learn and are educated and seeks
to enhance the outcomes of learning processes. A good
educational process, according to educational psychology,
depends critically on factors like motivation, fatigue, and
attention. It also carefully evaluates the relationship between
the teacher and the students and offers a variety of rewarding
and motivational techniques. While all of things are crucial
for human learning, they are not nearly as crucial for (modern)
machine learning.
Learning, intelligence, consciousness
As we’ve already established, intelligence is the capacity
to both solve issues and adapt to one’s surroundings. But
learning on its own is insufficient. A system needs certain
capacities, such enough memory, the ability to reason
(processing), the ability to perceive (input and output), etc.,
in order to be able to learn. If these skills are improperly
integrated or do not have a suitable learning process, they
are insufficient. Furthermore, some prior information is
necessary for effective learning and is inherited in living
systems. As a result of the system’s increased abilities from
learning, its intelligence likewise grows.

The amount of intelligence
Because we must take into account a variety of intelligences
(abilities), including numerical, textual, semantic, visual,
spatial, motor, memory, perceptual, inductive, and deductive,
systems cannot be rigidly ranked according to the quantity of
intelligence. Even emotional intelligence has gained
widespread recognition recently. Over a hundred different
forms of human intelligence are described by some authors.
Both human and computer systems can exhibit superior
intelligence in certain domains and inferior intelligence in
others. When we talk about artificial intelligence, we don’t
anticipate an intelligent system to be exceptionally proficient
in a single, limited area of intelligence, such memory size,
calculation speed, space search speed, or (almost ideal) game
playing. In every one of these areas, modern computers are
already rather sophisticated. We anticipate that an intelligent
system will be (at least partially) intelligent in any domain
where human problem solving is prevalent. In order to be
able to move between different types of intelligence correctly
during issue solving, it appears that we need to integrate all
of the different types of intelligence into a single sensible whole
(a sort of supervisory system). However, the majority of ideas
pertaining to artificial intelligence fail to take consciousness
into account, even though it seems like a reasonable candidate
for the supervisory system.
Implications of AI
1. Personalized Learning:
AI facilitates personalized learning experiences, tailoring
educational content to individual student needs. This section
delves into the benefits of adaptive learning systems and how
they enhance student engagement, retention, and academic
success.

47
2. Data-Driven Decision Making:
The utilization of AI in education generates vast amounts
of data. Explore how data analytics and machine learning
enable educators to make informed decisions, from identifying
learning gaps to predicting student performance, fostering a
more responsive and effective educational environment.
3. Equity and Accessibility:
Address the critical issue of ensuring equitable access to
AI-driven educational tools. Examine potential biases and
challenges in algorithmic decision-making, emphasizing the
importance of creating inclusive AI solutions that bridge the
digital divide.
4. Teacher-Student Dynamics:
Analyze the evolving role of educators in an AI-enhanced
classroom. Discuss how AI can assist teachers in administrative
tasks, allowing them to focus more on personalized instruction,
mentorship, and fostering critical thinking skills.
5. Ethical Considerations:
Explore the ethical implications of AI in education,
covering topics such as student privacy, informed consent,
and the responsible use of AI technologies. Discuss the
development of ethical guidelines and policies to safeguard
both students and educators.
6. Digital Literacy and Skill Development:
Examine the necessity of integrating digital literacy into
educational curricula to prepare students for a world where
AI plays a prominent role. Discuss the skills needed to navigate
and contribute to an AI-driven society effectively.
7. Challenges and Concerns:
Delve into potential challenges, including job displacement,
resistance to technological change, and the psychological

impact on students. Consider strategies for addressing these
concerns while maximizing the benefits of AI.
Advantages of Artificial Intelligence in Education
These days, people are capable of incredible feats thanks
to everyday technological advancements. Artificial intelligence
(AI) is one such development that allows for personalized
learning by providing intelligent information on your digital
devices at the exact moment you need it. Let’s focus on the
benefits that artificial intelligence offers the education industry.
Organized Information
Beyond the applications of AI in education, there are many
other benefits for students of artificial intelligence. Teachers
and educators throughout the world have been using these
intelligent devices’ exceptional skills—like their ability to
continuously feed knowledge from a range of sources—to
improve student performance. Artificial intelligence (AI)
systems are also being employed in classrooms worldwide
more and more because of their ability to absorb information
thoroughly, which helps students learn more quickly and
efficiently. Artificial intelligence (AI) applications assist
students find solutions and answers via easily accessible
dictionaries like Google scholar, as well as educational films
and material. This greatly reduces the gaps in educational
resources when using traditional ways like books and lectures.
Personalized Education
The field of education is undergoing a transformation
thanks to artificial intelligence. One method to see this shift
is through personalized learning, which creates programs and
activities for students based on information from student data
that are especially catered to their needs and interests. Thanks
to advances in artificial intelligence, tech companies such as
Google can now collect vast amounts of data about individual
customer preferences. This enables them to deliver

49
personalized content that exceeds past expectations and keeps
people on an app or website longer.
Massive help for Students with Special Needs
Artificial intelligence can be used to helppupils with specific
requirements because of its flexibility. Because some students
may not participate in class, teachers may overlook critical
nuances while teaching a large group. The AI works with each
student individually to ensure that they are learning at their
best rate and also provides them with additional one-on-one
time with teachers.
Integrated Learning
Immersive learning is one of the numerous educational
possibilities and advantages of artificial Intelligence offered.
Ergo, students are provided with real-world experiences they
can use on a regular basis outside of class and are given more
influence over how they learn. The exponential growth of
artificial intelligence in our culture will change education.
Especially when you take into account how restricted humans
are in comparison to AI’s abilities to assimilate information at
an incredibly fast rate while doing accurate computations
without making mistakes or growing weary.
Intelligent Tutoring System
Intelligent tutoring systems (ITSs) are one of the cutting-
edge applications that demonstrate the benefits of artificial
intelligence in the educational setting. ITSs employ computer-
based learning environments to help students learn, practice,
or master new skills by providing personalized instruction
based on how adept they are with a certain topic or skill set.
Personalized feedback provides students with quick feedback
on how well they grasp subjects presented in class and allows
them to compare their performance to the rest of their peers
who are learning in a virtual environment.

Virtual Reality Learning
Because of technological advancements, students today
feel more connected to and interested in their education.
Virtual reality courses that allow users to learn while immersed
in a new setting or scenario, such as having access to top
institutions around the world without ever leaving your seat,
have transformed this sector of education, and the AI
application is to blame. Virtual reality will allow students to
interact more fully with their course material in the future.
Software for Grading Essays
The key benefits of artificial intelligence in education are
the speed and accuracywith which paper assessors can evaluate
papers. Despite the fact that technology is still in its infancy,
AI has various potential uses, one of which is the use of AI-
driven software to assess student writings.
Raising Academic Standards and Educational Quality
Artificial intelligence offers a cutting-edge way to
increasing student participation in educational courses at all
levels. Artificial intelligence may update the course content,
provide quick feedback, and determine the level of student
involvement using interactive learning approaches that are
not currently available in educational institutions.
Artificial intelligence can improve the way we teach by
providing students with a different educational experience
than they would otherwise receive.They can access materials
outside of their usual classes and receive real-time feedback
through AI engagement.
Lower Human Error
Many previously manual operations have been mechanized
as a result of technological breakthroughs. One example is
how artificial intelligence (AI) has reduced human errors in
the field of education while judging tests and homework
assignments.

51
Conclusion
In conclusion, the implementation of AI in education marks
a transformative stride towards a more dynamic and
personalized learning experience. Through intelligent systems,
students benefit from tailored content delivery, adaptive
assessments, and enhanced engagement. AI fosters a
collaborative environment, equipping educators with valuable
insights to tailor their teaching methodologies. However,
challenges such as ethical considerations and the need for
ongoing professional development should not be overlooked.
As we navigate this frontier, it is imperative to strike a balance
between technological integration and preserving the
invaluable human touch in education, ensuring that AI serves
as an enabler for a more effective and inclusive learning
journey.
Reference:
Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023).
Transforming Education: A Comprehensive Review of
Generative Artificial Intelligence in Educational Settings
through Bibliometric and Content Analysis. Sustainability,
15(17), 12983. https://doi.org/10.3390/su151712983
Buhalis, D., Harwood, T., Bogicevic, V., Viglia, G., Beldona, S., &
Hofacker, C. F. (2019). Technological disruptions in services:
lessons from tourism and hospitality. Journal of Service
Management, 30(4), 484–506. https://doi.org/10.1108/josm-12-
2018-0398 Hershaft, A. P. (2011). National Education Technology
Plan.
Tyagi, M., Ranjan, S., Smiti, & Gupta, A. (2022). Transforming
Education System through Artificial Intelligence and Machine
Learning. 2022 3rd International Conference on Intelligent
Engineering and Management (ICIEM). https://doi.org/10.1109/
iciem54221.2022.9853195
Unesco. (2020). Humanistic futures of learning: perspectives from
UNESCO Chairs and UNITWIN Networks. UNESCO Publishing.

6
Use of Artificial Intelligence in
Language Learning
Dr. Suman Devi
Introduction
A-I is very important and potential for bringing the change
that how we live, how we do jobs and how we play. A-I has
been used successfully and efficiently in business, customer
service work, transport, fraud detection and in the field of
quality control. There are many areas in which A-I is used.
And it is true that A-I can perform any task better than humans.
A-I is powered and personal assistants. For example- Siri,
Google Assistant and Amazon Alexa. These are included in
smart phones which can perform many tasks automatically.
These are devices which perform the tasks such as – setting
reminders and sending messages for playing the music and
can also control the other smart phones devices. A-I learning
is also valuable in transportation applications. Companies can
be helped by improving their efficiency for the routes so that
they can predict the traffic.
If, we look into the recent past the rise of online education
has revolutionized the language learning process. Same is with
AI, the developments in AI technology has brought a turning
point in education. If, we study with AI technology, which is

53
an emerging technology that enables us a variety of
constructive features in apps. AI powered language are
combined with the use of neural network capabilities which
results in a new era of education for students as well as
teachers. But, how can you use AI for improving the learning
outcomes for students, that is the question.
Machine learning (ML) is the part of AI that allows the
system to become more effective for performing any task and
for making of the decisions. AI is a kind of learning which
uses algorithms designing for replacing the human brain. There
are hundreds of algorithms which helps AI for mastering the
foreign languages. For instance, the Decision Tree algorithm
helps AI to make the smart and data driven decisions. There
are three main algorithms which are used for learning any
language. For example- NLP (Natural language processing),
Collocation Extraction and Point Mutual information(PMI).
Where NLP allows machines to read and understand human
language or brain. And Collocation extraction has been used
for retrieving the information, for classifying the documents
and also for solving the problems of language generation.
These platforms can analyze student’s data for tailoring
the lesson plans, making the language learning effectual. AI
can break down the language ‘s barriers by many methods
which make language education more reachable to a global
audience. So, in this paper, we will discuss about the
exploration and acquisition for the basic knowledge about AI.
This paper will conclude about the benefits of A-I along
with many apps which are useful for learning of languages.
It also describes about the technical challenges, what it faces
in real world.
A-I language learning apps are becoming popular because
of the ability to be used by the individual’s needs and
preferences. These apps also use machine learning algorithms
to analyze the progress and for providing the feedback and
suggestions.

Benefits of Artificial Intelligence
A-I algorithms have the potential for the advancement of
e- Learning in every field. In companies A-I can be used for
training of the employees. And individual learners can use A-
I language learning for studying any type of subject. Whereas,
schools and colleges can employ for student’s opportunities.
Here are some of the benefits of Artificial Intelligence.
Adapting as per the students’ needs
The main benefit of A-I is based on the individual’s need.
When a teacher is teaching to the class. It is impossible for a
teacher in such a way that can suit to all the learners. By the
help of A-I, the needs of each individual student can be
fulfilled. Educators can collect useful data about the learners,
their styles and also about their abilities. This data can also
predict about the future performance about the learners. It
also provides platforms for users to work as per their own
requirements. A-I can also repeat the topics, it can engage the
learners and can also consider the factors of their cultural
background.
Providing of Immediate Feedback
If, we try to give the feedback traditionally, it can take
much time. Because, it is slower in response. Where, teachers
read and grade the students work and take some times to
give the results. But, in artificial intelligence in language
learning, feedback is instant. A-I gives grades tests and
evaluate automatically after the submission. It can point out
the error and can also fix them. Consequently, students can
take the instant actions to rectify their mistakes and can avoid
them in future.
A-I can also help teachers to pinpoint the weakness in the
curriculum. By the help of A-I, they can identify the misleading
questions and can improve it after identifying the needs.

55
No panic of flaw
Making the errors is natural part in education. It can affect
the process negatively. Students who are ashamed of the
mistakes, knowledge gaps and low grades which can result
in disengagement of the students with studying. A-I for
language learning does not let repent or embarrass them in
front of the class. So, A-I simply evaluates the learners.
A Redefined role for teachers
A-I can replace human teachers completely. It can also
redefine the role of a teacher. A-I can carry out the grading,
paper work and other administrative work quickly and with
more efficiency. It can allow teachers for more learning
processes and can guide the students.
Deep involvement in the learning process
It is because of AI, that students can study anywhere as
per their wish. They can set their goals as per the requirements.
And can follow a customized syllabus. A-I, can also engage
in games, quizzes and in other activities that can tailor the
syllabus as per the needs and concern of the students.
How does different language learning use AI?
There are many language learning apps and each has its
own model and processes.
1. Phase 6
It is a German Company which offers a leading language
learning app that is mostly used by schools and universities.
Initially, Phase 6 was available as a desktop solution and the
company had to adapt the growing demand for mobile
language learning. Intellias has helped Phase 6 for developing
a scaling backend with mobile access. If AI is with algorithms,
this app will provide a smart vocabulary trainer along with
progress report.

Duolingo
This is the most famous language learning app, but how
does Duolingo will be used in A-I.
Duolingo has chatbots which is fluent in 36 languages. And
each of the user of chatbot will employ the machine learning
for recognizing the voice and speech patterns of the user’s.
This will enable the automatic reading, writing and speaking
tests for the users. And it will allow grade the learners on the
base of their grades.
Rosetta Stone
If, we date back to the early 1990s, we will find the Rosetta
Stone brand and that pave the way for learning of the language
software. By using the ML technology, increased reality and
translation, the Rossetta Stone app is the latest iteration of the
software. It can help to recognize the own speech system.
This app can scan the objects with the help of camera and can
translate the content in different types of languages.
Mondly
This app offers courses in almost forty thousand languages
and can make the use of images which can integrate reality
and VR. Users can get connected to the real world situations
to the learning experiences.
Babbel
It is a German app and also e Learning platform. Babbel
app offers courses in 14 languages. It employs to recognize
the speech, tailored assessments and grading algorithms which
are based on the spaced replication. This app also reminds the
users of different words and phrases.
Busuu
This is Spansish app. Busuu uses AI and provide one on
one tutoring to teach users based on the choices of 12

57
languages. Busuu incorporates with Google Assistant for
enabling the live conversations and lately launched an app for
the virtual reality (VR).
Memrise
It is British app. It applies a bespoke object for recognizing
algorithm to identify images from the camera of users and
can name the objects from the chosen language. It also engages
smart chatbots that will interact with its users in 23 languages.
Chat GPT
It is a famous app which is free and for the general
purposes. It is extremely popular since 2022. It also offers the
conversation and would help in writing of the text. It also has
applications for learning of a language. You just ask Chat GPT
to translate any text into any language and it will provide the
exact results.
Difficulties of A –I in Language Learning
If we take the consideration of A-I powered language
learning tools. Users can be aware of that how their data has
been used and stored. And they can be comfortable with the
level of data collection.
Technological Boundaries
A-I has made the noteworthy advancements in learning
of a language. There are still the limitations of technology.
For instance- A-I finds difficulties to understand the nuances
of composite languages, colloquial language and cultural
context which can also affect the value of learning experiences.
The Role of Human Interaction-
Though, there are many benefits of A-I language learning.
But, still we cannot overlook the interaction of humans for
learning of languages. If we connect with the native speakers
and engages in the conversation and can immerse oneself in

the target language culture. We can provide valuable
experiences and human touch that A-I cannot fully replace.
Conclusion
A-I has been revolutionized over the years which can
make it more available, proficient and appealing than before.
With the development in technology of A-I and its
incorporation of cutting –edge tools such as VR and AR. With
such kind of advancements, the future of language learning
seems quite promising. Though, it is vital to recognize the
importance of human interaction for the process of language
learning. If humans combine both of the worlds, they can
achieve their goals and unlock the new opportunities. No
doubt, if we include A-I in education, it will enhance the
learning of many languages. Students will flourish with the
tailored content and instant feedback and can adapt it as per
their needs. Even, the role of a teacher can feel easier because
of language apps in the form of machine translation. However,
human effort is equally important for developing and
implementing the effective solutions. A-I software companies
can work for designing the smart educational app that can
drive any kind of business being its transportation or online
learning programs. As we know that Online language learning
is with the utmost value in abnormal situations as in COVID-
19. But, A-I is necessary for the future in language learning,
language assessment, evaluation, motivation, diversity and
even for the fairness in work.
References
Holbah, W.A. and Sharma, V.K. (2022). Online Language
Assessment the Exception, Not the Rule: For Inclusive
Language Learning. Arab World English Journal (AWEJ) Special
Issue on CALL (8), pp. 299-313. (Web of Science).
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Sharma, V.K. (2022). Professional Development for Teachers:
learning in New Reality. Pedagogy of Learning, 8 (1), 50-58. (UGC
care listed). https://doi.org/10.46704/pol.2022.v08i01.006

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Sharma, V. K., Kumar, K.K., Sreejana, S., & Murthy, N. S.V. (2023).
Using Literary Texts in Developing Intercultural Competence
of Foreign English Language Learners in Virtual Space. Arab
World English Journal (AWEJ) Special Issue on CALL (9), pp. 18-
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Yadav, M.S., and Sharma V. K. (2022). Exploring the Possibilities
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Language Teaching. The Seybold Report, 17 (11), pp. 2508-2517,
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1. https://academy.europa.eu
2. https://intellas.com
3. https :// talkpal.ai
4. https;//www.sciencedirect.com
5. https;//www.frontiersin.org
6. https://files.eric.ed.gov

7
Relationship Between
Artificial Intelligence and
Education
Gaurav Shahi and Ms. Shubhika Gaur
Introduction
AI intelligence refers to the ability of a computer system
to exhibit thinking capabilities. It refers to the enhancement
of computer systems capable of executing tasks that often
necessitate human intelligence. These assignments encompass
learning, cognition, problem-solving, judgement, language
comprehension, and self-guided instruction. Artificial
intelligence encompasses a wide range of techniques and
methodologies, including machine learning, natural language
processing, computer vision, and robotics. Higher education
has increasingly embraced contemporary technologies and
methodologies to enhance the educational experience.
Technological advancements such as learning management
systems, gamification, video assisted learning, and virtual and
augmented reality have significantly enhanced student
engagement and education planning. Now, let us discuss the
topic of artificial intelligence (AI) in the field of education.
The utilisation of a classroom response system facilitated the
prompt participation of students in answering multiple-choice
questions and engaging in real-time conversations.

61
While technology has undeniably given numerous
advantages to education, there are still apprehensions
regarding its influence on higher education establishments.
Traditional universities and colleges are concerned about the
future of their institutions due to the increasing popularity of
online education and the wide range of educational resources
available on the internet. Consequently, numerous higher
education institutions require assistance in keeping up with
the swift technological advancements and are seeking methods
to adjust and remain pertinent in the digital era. Higher
education has increasingly embraced contemporary
technologies and methodologies to enhance the educational
experience. Technological advancements such as learning
management systems, gamification, video assisted learning,
and virtual and augmented reality have significantly enhanced
student engagement and education planning. Now, let us
discuss the topic of artificial intelligence (AI) in the field of
education. The utilisation of a classroom response system
facilitated the prompt participation of students in answering
multiple-choice questions and engaging in real-time
conversations.
AI Tools:
Computerization: artificial intelligence empowers the
mechanization of dull undertakings, permitting people to zero
in on more imaginative, complex, and vital parts of their work.
Information Investigation and Bits of knowledge: With the
gigantic measures of information produced day to day,
simulated intelligence can break down and concentrate
important experiences, assisting organizations and associations
with pursuing information driven choices.
Personalization: artificial intelligence calculations power
customized encounters, from content suggestions on
streaming stages to customized publicizing and item proposals.

Proficiency and Efficiency: computer based intelligence
driven mechanization further develops effectiveness and
efficiency in different ventures, lessening manual endeavors
and functional expenses.
Medical care Headways: artificial intelligence assumes a
pivotal part in clinical picture examination, drug disclosure,
and customized medication, adding to progressions in medical
care.
Regular Language Handling (NLP): NLP applications, like
language interpretation, chatbots, and remote helpers, improve
correspondence and collaboration among people and machines.
Monetary Development: man-made intelligence is viewed as
a driver of financial development, cultivating development
and setting out new open doors in enterprises going from
money and assembling to schooling and diversion.
Network safety: simulated intelligence is utilized to
distinguish and answer online protection dangers all the more
really, giving upgraded safety efforts in the computerized
scene.
Natural Effect: artificial intelligence can add to
manageability endeavors by upgrading energy utilization,
further developing asset the executives, and supporting
ecological observing.
Advancement and Exploration: simulated intelligence
cultivates development in different fields, pushing the limits
of what is conceivable and driving examination in regions like
mechanical technology, independent vehicles, and quantum
registering.
1.2 Relevance of AI in today Era
The significance of artificial intelligence in the present day
may be demonstrated by the enormous impact it has on
businesses, its ability to propel progress, and the role it plays
in addressing complicated problems in a variety of domains.
It is expected that artificial intelligence will play an undeniably

63
central role in shaping the future of both society and industry
as scientific and technological advancements continue to
accelerate.
2.New education Policy
The National Education Policy 2020 in India aimed at
bringing about comprehensive changes in the education system,
covering various stages from school to higher education. Some
key features of the NEP 2020 included:
School Instruction:
The rebuilding of the educational system into a 5+3+3+4
organization, zeroing in on fundamental, preliminary, center,
and optional stages.
Accentuation on youth care and schooling (ECCE).
Presentation of an adaptable educational plan with an
emphasis on decisive reasoning, inventiveness, and experiential
learning.
Advanced education:
Mix of advanced education organizations and the
presentation of a multi-disciplinary methodology.
Advancement of exploration and development through
the Public Exploration Establishment.
Scholarly credit bank and numerous section and leave
focuses for degree programs.
Dialects and Mode of Guidance:
A three-language recipe was proposed, with adaptability
in the selection of dialects.
The mechanism of guidance up to essentially Grade 5 was
to be in the primary language or local language.

Evaluations and Assessments:
A shift from repetition figuring out how to a more all-
encompassing type of evaluation.
Presentation of another Public Evaluation Community
(PARAKH) for leading appraisals.
Educator Preparing and Proficient Turn of events:
An emphasis on ceaseless expert improvement for
instructors.
The foundation of the Public Expert Principles for
Educators (NPST).
Innovation in Schooling:
Reconciliation of innovation in educating and growing
experiences.
The advancement of on-the-web and computerized training
assets.
3. Relationship Between Artificial Intelligence and
Education
The relationship between AI (Artificial Intelligence) and
education is multifaceted, with AI playing a significant role in
transforming various aspects of the education sector. Some
points highlighting the relationship between AI and education:-
Customized Learning:
Computer based intelligence empowers customized
opportunities for growth by investigating individual
understudy information and adjusting content to take care of
their particular necessities, learning styles, and speed.
Versatile learning stages use simulated intelligence
calculations to survey an understudy’s assets and
shortcomings, giving designated assets and exercises.
Computerization of Regulatory Undertakings:
Man-made intelligence is utilized to computerize

65
authoritative undertakings, like reviewing, booking, and
record-keeping, permitting instructors to zero in more on
educating and coaching.
Improved Instructing and Coaching:
Computer based intelligence controlled mentoring
frameworks can offer extra help to understudies, offering help
with schoolwork, addressing questions, and giving criticism.
Remote helpers and chatbots can be utilized to answer
normal questions, saving instructors’ the ideal opportunity
for additional complicated communications.
Information Examination for Direction:
Computer based intelligence helps in dissecting huge
arrangements of instructive information to recognize patterns,
examples, and regions that need improvement.
Instructive organizations can utilize simulated intelligence
to pursue information informed choices, prompting better
asset designation and educational program arranging.
Computerized Content Creation and Curation:
Computer based intelligence devices help with making and
organizing advanced instructive substance. This incorporates
producing test questions, intuitive learning materials, and in
any event, altering content in view of understudies’
inclinations.
Language Learning and Interpretation:
Artificial intelligence controlled language learning
applications help students practice and further develop their
language abilities through customized activities and criticism.
Interpretation devices fueled by simulated intelligence
work with language instruction by separating language
boundaries and making content open to a worldwide crowd.

Computer generated Reality (VR) and Increased Reality
(AR):
Man-made intelligence is coordinated into VR and AR
advancements to make vivid instructive encounters. This
incorporates virtual field outings, recreations, and intuitive
3D models that improve learning.
Prescient Investigation for Understudy Achievement:
Artificial intelligence calculations can anticipate
understudies in danger of falling behind or exiting in light of
different elements. This permits instructors to mediate early
and offer extra help to further develop understudy results.
Moral Contemplations and Inclination:
There are worries about predisposition in simulated
intelligence calculations, and this stretches out to instructive
applications. Engineers and teachers should be cautious to
guarantee that simulated intelligence devices are fair,
unprejudiced, and don’t sustain existing disparities.
Expertise Advancement for What’s in store:
Computer based intelligence adds to the advancement of
abilities that are progressively significant in the labor force,
for example, decisive reasoning, critical thinking, and
advanced education.
While simulated intelligence carries numerous amazing
chances to further develop instruction, it’s fundamental to
explore difficulties like moral contemplations, information
protection, and guaranteeing that innovation upgrades, instead
of replaces, the human parts of training. Finding some kind
of harmony between utilizing simulated intelligence for
proficiency and protecting the human touch in schooling is
vital for its fruitful combination into the learning climate.

67
4. Importance of Artificial Intelligence and Education
Artificial intelligence (AI) is rapidly becoming an
indispensable component of our day-to-day lives, redefining
the way we work, study, and communicate while also
transforming entire sectors. This rapid improvement in
technology underscores the significance of incorporating
artificial intelligence education into the curriculum. This is not
only to ensure that all students are well-equipped for their
academic prospects, but also for the development of the
workforce.
Keeping this in mind, it is of the utmost importance to
take into consideration underrepresented populations, as pupils
who are underrepresented are generally excluded from the
most recent technical breakthroughs.
Customized Learning: Computer based intelligence can break
down individual learning examples and inclinations, taking
into consideration the customization of instructive substance.
This customized approach assists understudies with learning
at their own speed, zeroing in on their assets and tending to
their shortcomings.
Versatile Learning Frameworks: man-made intelligence
controlled versatile learning stages can change the trouble level
of content in light of understudies’ exhibition. This guarantees
that every understudy gets a customized opportunity for
growth, advancing a more compelling and productive
educational experience.
Productive Appraisal and Input: simulated intelligence can
smooth out the evaluation cycle via robotizing reviewing and
giving moment criticism. This permits educators to invest more
energy on educational exercises and customized help, instead
of managerial undertakings.
Remote helpers and Coaching: man-made intelligence driven
menial helpers can offer quick help to understudies, addressing
questions, offering clarifications, and directing them through
different subjects. Artificial intelligence coaching frameworks

can enhance conventional showing strategies, giving extra
assets to understudies who need additional assistance.
Information Examination for Independent direction: computer
based intelligence helps instructive establishments accumulate
and investigate huge measures of information, giving
significant experiences into understudy execution,
participation, and commitment. This information driven
approach empowers overseers and teachers to pursue
informed choices, distinguish regions for development, and
streamline instructive systems.
Upgraded Asset Assignment: simulated intelligence can help
with streamlining asset allotment inside instructive
foundations, assisting them with allotting financial plans
successfully, oversee staffing, and distinguish regions that
require extra assets.
Inventive Instructing Strategies: simulated intelligence
empowers the advancement of imaginative showing
techniques, for example, integrating computer generated
reality (VR) or increased reality (AR) into the growing
experience. These advances can make vivid and drawing in
instructive encounters.
Deep rooted Mastering and Expertise Improvement: As the gig
market advances, simulated intelligence can assume a
significant part in working with long lasting mastering and
ability improvement. Man-made intelligence fueled stages can
offer customized, in the nick of time learning open doors,
assisting people with getting new abilities and remain serious
in the labor force.
Worldwide Openness: man-made intelligence can connect
holes in instructive access by giving web based learning assets
and apparatuses. This is especially advantageous for people
in remote or underserved regions who might not approach
conventional instructive foundation.
Language Interpretationand Inclusivity: simulated intelligence
language interpretation devices can separate language

69
hindrances, making instructive substance more open to a
worldwide crowd. Also, man-made intelligence can be utilized
to establish comprehensive learning conditions, tending to
assorted advancing requirements and obliging understudies
with differing capacities.
5. Impact of Artificial Intelligence in Education
Fluctuation in educating: Man-made brainpower (simulated
intelligence) can produce replies on coding, numerical
conditions, writing, and understanding appreciation, can take
care of troublesome calculation issues, etc. It can likewise direct
understudies on their concerns about why they should gain
proficiency with a subject, empower scientific reasoning, and
propel them to study.
Man-made brainpower can animate imagination assuming
information is given to do as such. It can go about as a life
mentor, vocation mentor, and holistic mentor in this
viewpoint. From assisting with composing a story to making
a test regarding the matter, simulated intelligence can offer
a huge scope of chances for learning.
Likewise, educators are not forgotten as well. Simulated
intelligence can construct an assortment of instructive
substance. For instance, it can make course designs,
consideration grabbers for examples, progress reports, and
tasks, and assist with reviewing tests.
Artificial intelligence can investigate understudy execution
information to distinguish patterns, assisting teachers with
settling on informed choices and concoct options. With this
help accessible to them, instructors will have more energy
and time to zero in on association with their understudies.
Availability:
Simulated intelligence is not difficult to utilize and get to.
With the assistance of Man-made reasoning, schooling quality
can be moved along. Additionally, with artificial intelligence

dealing with computerized assignments and giving
individualized criticism, the expense of schooling will be lower.
This schooling is available to all, paying little mind to
financial status, orientation, area, and handicap. As such, value
in schooling will be guaranteed. Likewise, distance learning
is working on each day, with the valuable open doors given
by artificial intelligence.
6. Concerns and Obstacles Presented by Artificial
Intelligence in the Educational System
The application of artificial intelligence in educational
settings comes with several advantages; nevertheless, there
are also ethical concerns that must be addressed. Artificial
intelligence has the ability to perpetuate current prejudices
and discrimination in the educational system, which is one of
the most significant issues. Worries have also been raised over
the influence that artificial intelligence will have on the privacy
and security of student data.
It has also been brought to the attention of educators that
the chatbot is able to provide meaningful responses to queries
that are seen on examinations and evaluations. Furthermore,
it is frequently impossible to attribute these comments to a
specific source, which makes it increasingly difficult to identify
instances of plagiarism.
In addition, there is a concern regarding the possibility of
job displacement in the education sector as a result of the
ongoing advancement of technology. In light of the fact that
many administrative duties are becoming automated, it is
possible that there will be fewer employment available for
support workers and instructors.
Another difficulty that needs to be addressed is making
sure that all students have equitable access to education that
is powered by artificial intelligence. In light of the increasing
availability of online education and educational resources on
the internet, it is of utmost importance to guarantee that all

71
students, irrespective of their socioeconomic standing or
geographical location, have access to these resources.
Conclusion
While artificial intelligence carries numerous chances to
further develop training, it’s fundamental to explore
difficulties like moral contemplations, information security,
and guaranteeing that innovation improves, instead of
replaces, the human parts of instruction. Finding some kind
of harmony between utilizing computer based intelligence for
effectiveness and protecting the human touch in training is
vital for its fruitful combination into the learning climate.
References:
K. Flamm, Creating the Computer: Government Industry and High
Technology, Washington, DC, USA:Brookings Institution Press,
1988.
Show in Context Google Scholar
M. Campbell-Kelly, Computer Student Economy Edition: A History
of the Information Machine, Evanston, IL, USA:Routledge, 2018.
M. M. L. Cairns, “Computers in education: The impact on schools
and classrooms” in Life Schools Classrooms,
Singapore:Springer, pp. 603-617, 2017.
Show in Context CrossRef Google Scholar
B. Coppin, Artificial Intelligence Illuminated, Boston, MA,
USA:Jones and Bartlett, 2004.
B. Whitby, Artificial Intelligence: A Beginner’s Guide, Oxford,
U.K.:Oneworld, 2008.
V. Devedžic, “Web intelligence and artificial intelligence in
education”, Educ. Technol. Soc., vol. 7, pp. 29-39, 2004.

M. J. Timms, “Letting artificial intelligence in education out of the
box: Educational cobots and smart classrooms”, Int. J. Artif.
Intell. Edu., vol. 26, no. 2, pp. 701-712, Jan. 2016.
H. Snyder, “Literature review as a research methodology: An
overview and guidelines”, J. Bus. Res., vol. 104, pp. 333-339,
Nov. 2019.

73
8
Ethics, Ethos, Safety and Well-
Being in Using AI in Higher
Education
Dr. N. Kothai
INTRODUCTION
For higher education in 2023, artificial intelligence (AI) is
expected to be one of the most pervasive technological
advances. Students’ educational experiences can be enhanced
and improved by using AI, which offers innovative accessibility
options along with individualized learning that is catered to
each individual student. Natural language processing, machine
learning, and algorithm development are all applied in the
subject of artificial intelligence (AI). Utilizing AI, educational
resources are transformed. Numerous educational uses of AI
exist, including automated evaluation systems to support
teachers, facial recognition software to gain behavioral
insights, and tailored learning platforms to encourage students
to learn. Despite the potential benefits of AI to support
students’ learning experiences and teachers’ practices, the
erthical and societal drawbacks of these systems are rarely
fully considered in K-12 educational contexts. Teachers and
students need to be made aware of the ethical issues
surrounding artificial intelligence in the classroom. Thus the
ethics of Artificial Intelligence in higher education are a
complicated but urgent issue that require consideration and

a lively debate because of several important ethical issues,
such as:
PREJUDICE AND DISCRIMINATION
Artificial Intelligence systems are now trained by humans.
AI refers to systematic and replicable flaws in computer
systems that result in unequal treatment and discrimination
based on constitutionally protected traits, such as gender and
race. Systems can be biased only if they were trained on biased
data (Jackson, 2021). This is only possible if a biased dataset
is used to train the AI system.
PRIVACY AND SECURITY
It’s been somewhat difficult to define what “privacy”
actually means, because Artificial Intelligence systems have
the potential to gather and use student personal data, its use
can give rise to concerns regarding security and privacy. To
protect students’ privacy and stop illegal access to their data,
colleges, universities and other organizations must put in place
explicit regulations and procedures.
ACCESS AND INCLUSION
Access and inclusion for students with challenges may be
enhanced by AI-powered educational technologies. Making
all educational resources, activities and assessments accessible
to all students’ entails making sure persons with disabilities
as well as learning obstacles may participate in them. The term
“access and inclusion” in artificial intelligence (AI) refers to
the “inclusion” of people with “diverse” features and
viewpoints in the system, data, governance and processes of
the AI ecosystem. The depiction of human diversity among a
group or society is termed as diversity.
TRANSPERENCY AND ACCOUNTABILITY
In Artificial Intelligence, Transparency refers to the
capacity to see inside an AI model and comprehend the

75
reasoning behind its judgements. Making sure that systems
are properly constructed helps to build our faith in their actions.
This calls for accountability – as well as transparency –the
capacity to comprehend how systems decide and how the data
is used.
REPLACING HUMAN TEACHERS
Artificial Intelligence is lagging behind humans in most
fields at the moment, particularly when it comes to difficult
tasks that call for a combination of technical and socio-
emotional abilities. It is crucial that we resist giving computers
complete control over cognition even as Artificial Intelligence
develops.
Artificial Intelligence systems require ethical behaviour
from humans, not from computers, in order to function
correctly. It is ultimately the duty of humans to develop and
implement AI systems.
ETHOS
Going slightly back in time, we can find the term ethics
in Ancient Greece, coming from Aristotle with the word
“ethos”, which initially stated to habit, tradition, and the
incessant replication of moral action. I am thus rational about
how to include Aristotle’s idea of ethos while imitating AI in
21st-century society. At the same time, the solution may be
forthright or complicated, inspiring moral behavior as a habit
is what I understand ethos to be.
SAFETY
Artificial Intelligence safety technologies encompass a
variety of instruments, approaches and procedures intended
to guarantee the ethical, safe and consistent functioning of AI
systems. There’s growing concern about potential prejudices,
vulnerabilities and unexpected consequences as AI systems
get more powerful and intricate. By developing systems to
track AI behaviour, get rid of lessen prejudices, stop malicious

attacks, and make sure AI systems are in line with human
goals and values, safety technologies seek to alleviate these
worries.
WELL-BEING
From monitoring diagnosis, clinical trials and health care
delivery to health economics, artificial intelligence (AI) has
enormous potential to revolutionize nearly every facet of
healthcare and health research. Artificial intelligence (AI) has
the ability to tailor healthcare diagnosis, treatment, and
monitoring for each patient, both at home and in the
community. Customized help and guidance for people
suffering from anxiety or depression might be offered via an
AI-powered Chabot. In order to comprehend a human being’s
worries and offer coping mechanisms and resources to assist
in symptom management, the chatbot may employ natural
language processing.
RECOMMENDATIONS
 Ensure transparency in AI systems, providing clear
information on how they function.
 Implement fairness by avoiding biases in training data
and algorithms to prevent discernment.
 Prioritize user confidentiality, securing and handling
data correctly. Foster a culture of responsible AI use
within your organization, emplacing ethical guidelines.
 Encourage open communication about the potential
impact of AI on society and the environment.
 Strive for AI solutions that contribute positively to
societal well-being. Establish robust security measures
to protect AI systems from malicious attacks.
 Implement fail-safes and error-handling mechanisms
to ensure safe operation. Regularly update and
maintain AI systems to address emerging risks and
vulnerabilities.

77
 Design AI applications with user well-being in mind,
minimizing negative impacts.
 Monitor and address potential societal concerns
related to job displacement or economic inequality.
Colloborative with experts in diverse fields to assess
and address the border inpacts of AI on well-being.
REFERENCES
Chan, Cecilia Ka Yuk and Hu, Wenjie, (2023). “Students’ Voices on
Generative Ai: Perceptions, Benefits, and Challenges in Higher
Education”. International Journal of Educational Technology in
Higher Education, v20 Article 43
Gellai, Daniel Bela, (2023). “Enterprising Academics: Heterarchical
Policy Networks for Artificial Intelligence in British Higher
Education”. ECNU Review of Education, v6 n4 p568-596
Li, Longxi et al., (2022). “Targeting Well-Being and Physical Activity
through Sport Education in Higher education”. Quest.
Schiff, Daniel, (2022). “Education for AI, “Not” AI for Education: The
Role of Education and Ethics in National AI Policy Strategies”.
International Journal of artificial Intelligence inEducation, v32 n3
p527-563
Slili, Zouhaier, (2023). “ The Impact of Artificial Intelligence on Higher
Education: An Empirical Study”. European Journal of Educational
Sciences, v10 n1 p17-33
Wang, Youmei, et al., (2021). “Factors Affecting the Adoption of AI-
Based Applications in Higher Education: An Analysis of Teachers’
Perspectives Using Structural Equation Modeling”. Education
Technology & Society.
Xia Qi, Chiu, Thomas K.F. (2023). “Artificial Intelligence Education
and Inclusion in K-12”, AERA Online Paper Repository.
Yau, King Woon et al., (2023). “A Phenomenographic Approach on
Teacher Conceptions of Teaching Artificial Intelligence (AI) in K-12
Schools”. Education and Information Technologies”.
Zembylas, Michalinos, (2023). “A Decolonial Approach to AI in Higher
Education Teaching and Lerning: Strategies for Undoing the Ethics
of Digital Neocolonialism”. Learning, Media and Technology, v8
n1 p25-37

9
Artificial Intelligence in
Conjuction with Teachers is a
Need for the Educational
System of the Twenty-First
Century
Dr. P. Subramanian
INTRODUCTION
Over the past few decades, there have been several waves
of emerging technologies for education, and the latest one is
artificial intelligence. In 1956, John McCarthy used the term
“artificial intelligence” for the very first time. Artificial
Intelligence (AI) is defined as “computers [that] perform
cognitive tasks, usually associated with human minds,
particularly learning and problem-solving,” and does not refer
to a specific technology. AI is a broad term that covers a variety
of analytical techniques. These techniques fall into the
categories of deep learning, neural networks, and machine
learning. The ability of a computer algorithm to learn from
data and make decisions without programming is known as
machine learning. The two most popular machine learning
models are supervised and unsupervised learning models,
despite the existence of many more. While unsupervised

79
machine learning algorithms generate a model from untagged
data, supervised machine learning algorithms use sample data,
also known as training data, to build their models. Stated
differently, the unsupervised model operates autonomously,
uncovering patterns that humans had previously missed. AI
offers a wide range of applications in education. For example,
chatbots, intelligent tutoring, and automated grading systems
are just a few of the educational technologies that incorporate
AI. All stakeholders have multiple opportunities to benefit
from these AI-based systems during the teaching and learning
process.
Artificial intelligence (AI) has been making its way into
our daily lives through a variety of channels, including
healthcare systems, mobile apps, and online search engines.
The rapid development of AI technologies has significant
effects on teaching and learning as well. Indeed, AI-assisted
instruction is predicted to revolutionize the field of education.
As a result, significant resources have been allocated to the
incorporation of AI into education. The majority of current
AI applications in education are profit-oriented, which poses
a significant challenge to the effective integration of AI into
teaching and learning. For AI to be used in teaching effectively,
developers must possess pedagogical knowledge in addition
to their limited understanding of the learning sciences.
Furthermore, AI developers frequently overlook the demands
placed on them by teachers, who are AI’s end users in the
educational system. For AI to be successfully implemented in
schools, teachers’ opinions, experiences, and expectations must
be taken into account. Teachers are thought to be among the
most important stakeholders in AI-based teaching. In
particular, a deeper understanding of the benefits AI offers
educators and the difficulties they encounter in implementing
AI-based instruction is necessary for AI to become
pedagogically relevant. Teachers’ perspectives on AI-based
education, however, have not received much attention.
Furthermore, there has been a lack of attention in the literature

to teachers’ contributions to the development of AI as well as
their expertise in its pedagogical application. This study
examines the opportunities and difficulties that artificial
intelligence (AI) in teaching practice has brought to light in
order to fill in these research gaps.
AI’S POTENTIALITIES IN EDUCATION
One of the primary advantages of using artificial
intelligence in the classroom is the ability to provide more
personalized instruction. Teachers often have less time to
spend one-on-one with students as class sizes continue to grow.
As a result, students who require extra assistance may fall
behind their peers, while students who understand the
material well may become disengaged. Integrating AI-based
personalized learning activities for students could have a
significant impact on information retention and graduation
rates. Artificial intelligence has also demonstrated the potential
to be used in reviews and assessments, where the teacher’s
input is frequently limited in a traditional educational setting.
This level of individualized involvement permits AI-based
review and assessment that boosts student retention whilst
also preventing valuable review time from being wasted on
topics they are already familiar with. Teachers have seen the
potential utilization of AI beyond the educational process to
help manage the more menial tasks of their jobs. While grading,
scheduling, lesson planning, and other duties are necessary
for a classroom to function properly, they detract from a
teacher’s primary purpose: to educate. Teachers can spend
more time addressing the actual content now that these tasks
are handled by artificial intelligence.
Many opponents of using artificial intelligence in the
classroom believe that it will ultimately substitute for teachers,
but this is simply not the case. AI technology is still evolving
— and is unlikely to ever do so — to the point where it can
completely replace human teachers. Nothing can replace a
human teacher’s ability to visually gauge and understand their

81
students’ reactions and engage with their students on an
emotional level, no matter how much data an AI processes
about a student’s performance and preferences. Indeed, AI
will be most useful as a supplement to teachers’ workloads.
Some have questioned whether artificial intelligence is required
in the classroom. However, given that using AI as a
supplement tool has the clear benefit of improving student
learning and teacher productivity, it is worthwhile to consider
using this technology in the classroom.
Furthermore, the goal of education is to prepare students
for real-world experiences, and AI is becoming a dominant
part of several industries. We must prepare students to coexist
with artificial intelligence in a meaningful, productive, and
appropriate way if we want them to be ready for success in
their careers. Otherwise, when they enter the workforce, they
will be unprepared.
ROLE OF TEACHERS
The shift toward digital education does not imply that
people will require fewer teachers in the future. Rather than
speculating on whether AI will replace teachers, it is more
reasonable to focus on the benefits that AI provides teachers
and how these benefits can change teachers’ roles in the
classroom. Salomon demonstrated this during the early stages
of educational technology development by emphasizing the
importance of considering how learning occurs through and
with computers. In terms of artificial intelligence, Holstein et
al. proposed that in the future, AI-based machines could assist
teachers in performing what Dillenbourg emphasized as their
orchestrator role in the learning and teaching process.
To truly assist teachers in this way, AI must first learn
effective orchestration of learning and teaching from teacher
data. Because effective teaching is dependent on teachers’
ability to incorporate appropriate pedagogical methods into
their instruction, their pedagogically meaningful and
productive teaching instances can serve as prototypes for AI-

based systems of learning. In other words, the data collected
from the learning environment orchestrated by teachers serves
as the foundation for AI-based teaching. For example, the data
may assist researchers in determining when and how
effectively teaching is progressing. Teachers are essential in
helping students develop emotionally and feel like they belong.
They can modify their methods in response to student
feedback, foster critical thinking, and customize their teaching
approaches to each student’s unique learning style. Teachers
give advice, encourage students to follow their interests, and
impart contextual knowledge. To enhance students’ learning,
they can create engaging classes, offer moral guidance, and
provide prompt feedback. This dynamic approach guarantees
a more efficient and customized educational process.
Many of the administrative duties that teachers currently
complete can be automated by AI, giving them more time to
plan lessons and engage students. This has the potential to
lessen teacher burnout, a serious problem in many educational
systems. AI can assist educators in locating and filling in any
knowledge gaps that students may be experiencing. This has
the potential to improve learning outcomes by raising
motivation and engagement levels among students. AI can
give teachers insights into how each student is doing and
where they might be having difficulties by evaluating student
data. Teachers can use this to help students succeed by
tailoring their instruction and offering focused support. The
future of AI will probably change the role that teachers play.
AI systems will take care of administrative and grading duties,
freeing up teachers to concentrate more on higher-level duties
like lesson planning and student engagement.
The creation of learning gaps is one of the main effects
that the use of AI in the classroom could have. Students will
only receive the answer from an artificial intelligence tool;
they will not be given the methodology used to arrive at the
answer. After that, it is the duty of the teacher to close the
knowledge gap between what the AI provides and what the

83
students require to learn. A lot of ethical questions are brought
up by AI in education, including bias in grading and data
privacy. As AI becomes more and more integrated into the
teaching profession, these issues will need to be addressed.
All things considered, integrating AI into education has the
power to change the teaching profession and raise student
achievement.
CONCLUSION
Artificial intelligence is growing more and more prominent
in many areas of our lives every day. Artificial Intelligence
(AI) has begun to make an impact in the field of education,
with the goal of bolstering the learning process and serving
as a useful tool for both teachers and students. However, not
every educational institution has fully embraced the use of
AI, and it will require time for this to change. However, studies
show that in the near future, AI will have a good impact on
the education sector. It is currently transforming the education
industry. The shift towards digital education does not mean
fewer teachers will be needed in the future. Instead, AI can
provide benefits to teachers and change their roles in the
classroom. AI must learn effective orchestration of learning
and teaching from teacher data, which can be used to
determine progress and improve teaching methods. Teachers
play a crucial role in helping students develop emotionally
and feel like they belong, and can modify their methods based
on student feedback. AI can also automate administrative
duties, freeing up teachers to focus on higher-level tasks like
lesson planning and student engagement. However, AI may
create learning gaps, as students only receive answers from
AI tools without understanding the methodology used.
Teachers must close the knowledge gap between AI & students’
needs and and ethical issues like grading bias and data privacy
arise as AI integration becomes more prevalent. Artificial
intelligence can help to a larger extent, but it can never
completely replace teachers in the challenging task of teaching
students 21st century skills.

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10
AI Applications Related to
Teaching and Learning!
Introduction:
Artificial intelligence is nothing but the way of reducing
human work and burden in an innovative way through the
development of science and technology. John McCarthy is
considered as the father of artificial intelligence and off course
the term “artificial intelligence” is coined by him. Later on,
Allen Turning, Marvin Minsky, Allen Newel and Herbert are
joined together and have been working for the further
improvement and development of many fields that are related
artificial intelligence.
At present day, by the result of artificial intelligence almost
each and every fields are being enhanced. Especially the
education field is highly gifted by the immense contribution
of artificial intelligence. Here Let us discuss specifically about
artificial intelligence applications related to teaching and
learning.
Development:
1. Traditional teaching and learning:
The traditional way of teaching and learning has been
performing in Indian class rooms for many centuries. The
subject components or the knowledge are transforming
through the teachers to the learners in the way of lecturing,

explaining, describing with the help of books, contents and
real objects, etc.,
The traditional teaching and learning way are also effective
but the thing is, it is not able to cover all the learners of the
class room. It many times missed to grab the attention of
learners. There is no unique way or method to enrich all the
learners in the class room at one point, in fact it mainly focuses
the above average learners only. As a result, many below
average and late bloomers are dropped out from learning.
Not only this drop out problem but also there is no innovative
or enthusiastic way of method to teach and to evaluate the
learners.
Even though a skilled and sound knowledge teacher is
there, he/she couldn’t stop the rain with the single umbrella.
1. AI Applications in Education:
As result of science and technology, enormous
contributions are being made in the field of education. The
information and communication technology are really a boon
to the teachers as well as the students. Not only in India, all
over the world scop and focuses are being given to develop
their country high in education so far each and every country
is indulging themselves to invent and experiment ICT TOOLS
for teaching and learning. By this obvious competition among
the international countries, we are having enormous AI
applications in our field now. Let us know few important and
very useful AI Applications for teaching and learning.
1. List of some useful AI Applications in Education:
1. ChatGpt
2. Quizlet
3. Audiopen.ai
4. Nearpod
5. Cognii

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6. Duolingo
7. Kaltura
8. Coursera
9. Dreambox
10. Dragon speech
11. Knowji
12. Plaito
13. Gradescope
14. Gradescanner
15. Microsoft teams
Besides this, there are so many AI Applications for teaching
and learning. We shall know about these fifteen useful AI
applications for teaching and learning here briefly.
ChatGpt
ChatGPT is an AI tool that uses natural language to
converse with you and respond to your questions in real time.
ChatGPT’s natural language processing and learning
capabilities make it easy for you to create excellent study notes.
ChatGPT can comprehend and produce language that
sounds human, it can be used for a variety of tasks, including
creating content, responding to inquiries, having discussions,
and giving explanations.
Launched on November 30, 2022, ChatGPT is a big
language model-based chatbot created by OpenAI that lets
users customize and direct a discussion toward a particular
duration, format, style, amount of detail, and language.
Quizlet
Quizlet is an online learning and study tool that uses
artificial intelligence (AI) to make interactive study games,
quizzes, and flashcards. The artificial intelligence (AI)
algorithms of Quizlet adjust to the learning styles of its

students, making personalized recommendations and
maximizing their study sessions to improve their memorization
and comprehension of a range of subjects.
AudioPen.ai
An AI-powered tool called AudioPen AI can rearrange
and arrange the text you speak. Teachers can now more easily
than ever put their ideas into text in an accurate and well-
organized way with AudioPen.
Using cutting-edge voice recognition technology,
AudioPen converts spoken words into written text. All you
have to do is speak, hit the record button, and AudioPen will
take care of the rest. Unorganized voice notes can be turned
into publish-ready text using AudioPen. Emails, memoranda,
draft articles, and more. within a small amount of time.
Creating subject notes with AudioPen is now simpler than
ever. Simply speak out the information you want to include
in the notes.
Nearpod
Using a learning management system called Nearpod,
educational establishments can start interactive classes with
group projects like games, simulations, and virtual reality.
Teachers can conduct both live and virtual classroom sessions
with the help of this solution.
A platform for interactive learning that makes use of AI
to produce immersive and interesting lessons. In order to
encourage active student participation and feedback, Nearpod
provides educators with a library of ready-to-use lessons as
well as the ability to create their own interactive presentations,
quizzes, and virtual reality experiences.
Cognii
One of the top suppliers of educational technologies with
an AI foundation is Cognii. They provide 21st century online
education with better learning outcomes and cost effectiveness

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to companies in the K–12, higher education, and corporate
training sectors. With the help of intelligent tutoring, open-
ended assessments, pedagogically rich analytics, and
personalized deeper learning, students all over the world are
benefiting from Cognii’s multiple award-winning EdTech
product.
Duolingo
A platform for language learning that makes learning
enjoyable and efficient by utilizing gamification and AI. With
the help of machine learning algorithms, Duolingo makes
language learning engaging and doable for students by
tailoring lessons, offering instant feedback, and monitoring
progress. American educational technology company Duolingo
creates learning applications and offers language certification.
In addition to more than 40 languages—from widely studied
languages like English, French, and Spanish to less well-known
ones like Welsh, Irish, and Swahili—Duolingo provides courses
in math, music, and other subjects.
Kaltura
It is an online video and audio streaming collaborative
platform for all learners and teachers. AI-powered educational
video platform offering teachers and students a variety of
tools and features. Teachers can create, manage, and share
video content with students using Kaltura’s video creation
platform, video management system, and video collaboration
tool. Founded in 2006, Kaltura is a software company based
in New York. Kaltura is present in four significant markets:
Cloud TV is an online video platform primarily available to
media companies and operators.
Coursera
Coursera is an international online learning platform that
provides degrees and online courses from top universities and
businesses to anybody, anywhere. Coursera collaborates with

over 275 top universities and businesses to offer adaptable,
reasonably priced, and career-relevant online education to
people and businesses all over the world. We provide an array
of educational opportunities, ranging from practical projects
and classes to degree programs and certificates that are
industry-ready.
Dreambox
A flexible K–8 math learning platform that leverages AI
to deliver individualized instruction. With the use of artificial
intelligence, DreamBox offers math lessons to each student,
changing the level of difficulty and offering immediate
feedback to help students get better at math. American online
software company DreamBox Learning specializes in teaching
mathematics to elementary and middle school students. Over
2,000 lessons are offered to students in prekindergarten
through eighth grade, arranged as animated games,
challenges, and adventures.
Dragonspeech
The speech recognition software program known as
Dragon NaturallySpeaking was created by Newton,
Massachusetts-based Dragon Systems. Microsoft, Nuance
Communications, and Lernout & Hauspie Speech Products
later purchased Dragon Systems. Computers running
Windows can use it. Dragon speech recognition software
facilitates computer use for all users. It types as you speak. To
create and edit documents or emails, open files, run programs,
operate a mouse, and more, use your voice. Capture your
ideas and thoughts quickly and simply while Dragon helps
you complete more tasks more quickly.
Knowji
A novel method of learning vocabulary is called Knowji.
The vocabulary apps from Knowji combine entertaining
content with scientifically proven methodologies to create a

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learning platform that is both highly engaging and effective.
Knowji makes sure that every word you learn is retained and
stored in your long-term memory by using an integrated
memory coach. Knowji’s mission is to make learning quick
and easy for you.
Knowji remembers the words you struggle with more
often than others and tracks your progress in learning each
one. Additionally, it makes use of a spaced repetition algorithm
that predicts when you’re going to forget a word and asks
you to review it before the fact. This guarantees that everything
you’ve learned will stay in your long-term memory. They
employ four learning modes to create an educational
experience akin to a game. As you progress through
increasingly challenging learning phases without becoming
bored, each mode strengthens your memory.
Silicon Valley-based Knowji is an educational technology
company. They provide vocabulary-building apps that make
word learning entertaining and efficient. With its interesting
content and scientifically validated techniques, Knowji gives
everyone the resources they need to expand their vocabulary.
Plaito
Plaito is an AI-driven learning platform that facilitates
quicker and more efficient learning for students. Our platform
analyzes your work and offers tailored feedback using cutting-
edge AI technology. Your personal AI tutor in your pocket is
Plaito! Any question can be snapped, and you’ll receive the
assistance you need to answer it right away. Plaito has you
covered for everything from math problems to writing
prompts. Natural language processing and machine learning
techniques may be used by AI-integrated tutoring systems to
assess student responses and assess each student’s progress
by examining their learning behaviors.

Gradescope
A tool called Gradescope was created to simplify and
harmonize code, digital, and paper assignments. It works with
worksheets, tests, quizzes, papers, and problem sets and
projects. Students can upload paper problem sets to
Gradescope, an easy-to-use online tool that facilitates
instantaneous creation of rubrics and feedback from instructors
or teaching assistants. Instructors can grade students and
sections more consistently by using Gradescope. Additionally,
feedback given to students is more reliable. While still enabling
for thorough feedback, Gradescope assists teachers in grading
problem sets and other assignments more rapidly and
consistently. In large classes in particular, it helps to
standardize grading across sections and graders.
Gradescope will make retroactive adjustments to
assignments that have already been graded in the event that
a grading rubric is modified. It has in-depth analytics that
highlight potential areas of difficulty for students with a given
subject. Grades can be effortlessly exported to Canvas thanks
to its complete integration with the Canvas gradebook.
Gradescanner
A robust and user-friendly app called Grade Scanner
grades bubble sheet assessments automatically. Quickly create
your classes, set up the assessment answers, and then begin
scanning after your students have completed the bubble sheets.
Your student’s score will be displayed in real time by Grade
Scanner.
It is a powerful scanning tool to scan whatever Infront
you. Using artificial intelligence (AI) technology, document
scanning and capture are being revolutionized. Discover the
mysteries of document scanning and capture powered by AI.
The most recent techniques for enhancing accuracy, optimizing
workflows, and completely changing your document
processing tasks are covered in this article.

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Microsoft teams
The best messaging app for your communication is
Microsoft Teams, which offers meetings, file and app sharing,
real-time collaboration and communication, and occasionally
even emojis! Everything is in one location, out in the open,
and available to everyone.
Enter your school-provided email address and password
to log into Microsoft Teams for Education. You will be able
to sign in or sign up if your school is an authorized academic
institution, has already signed up for Office 365 for Education,
and has enabled access to Microsoft Teams. Please get in touch
with the IT administrator at your school if you need assistance.
As part of the Microsoft 365 family of products, Microsoft
developed Microsoft Teams, a proprietary platform for
business communication. Teams’ main rival is Slack, a
comparable service that provides file storage, application
integration, workspace chat, and videoconferencing.
The education industry is undergoing a revolution thanks
to artificial intelligence, which is giving teachers the resources
and tools they need to help students succeed while also giving
students individualized learning experiences. The 15 AI-
powered Edtech tools in this article are just a handful of the
numerous cutting-edge tools and platforms out there; they
show how AI has the power to revolutionize education and
enhance student outcomes.
AI makes it possible for teachers to produce and update
content more quickly, guaranteeing that the course materials
are always current and applicable. This keeps students up to
date on the most recent advancements in their field of study
and gets them ready for new challenges.
AI is able to evaluate students’ strengths and weaknesses,
pinpoint areas for growth, and customize learning resources
to meet each student’s specific requirements. Learning
becomes more efficient and interesting when students receive

the appropriate amount of challenge and support, which is
ensured by this individualized approach.
Algorithms using artificial intelligence (AI) can evaluate
student performance data and pinpoint areas in which students
might benefit from extra help or alternative teaching strategies.
This enhances learning outcomes by enabling teachers to better
adapt their teaching strategies to each student’s needs.
By anticipating maintenance requirements, it can also
reduce downtime and automate complicated processes. Better
accuracy and decision-making: AI enhance human intelligence
by providing deep analytics and the ability to predict patterns,
which helps employees make more creative, effective, and
high-quality decisions.
Conclusion
AI can assist in developing individualized teaching
strategies for people based on their learning potential in
various subject areas. It is capable of analyzing each student’s
preferences and knowledge gaps. So far in this chapter, we
have discussed about some useful Artificial intelligence
applications related to teaching and learning. Some open-
source ICT Tools and AI applications are also there for teaching
and learning. Far beyond the effects of earlier industrial
revolutions, AI leads to transformative applications within a
range of industrial, intellectual, and social applications.
Furthermore, in some situations, AI has shown to be a better
decision-maker than humans.
Indeed, the revolutionary development of AI is a boon to
the education field and it really reduces the work and burden
of teachers as well as students. Hence, we wisely utilize the
AI resources to make our teaching and learning become
fruitful.

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11
Ethical Implications and Risks
in AI Enhanced Education
Introduction
The field of education is changing as a result of artificial
intelligence (AI), which opens up new avenues for improving
assessment, boosting access and equity, and personalizing
instruction. But educators, legislators, researchers, and
developers must carefully consider and address the serious
ethical issues that AI also raises.
We first discuss the potential ethical concerns and the
opportunities presented by AI in education in this paper. The
relevant ethical policies and guidelines for AIED were then
examined and synthesized through the process of thematic
analysis in order to formulate and establish a set of ethical
principles. We go over each principle and its implications for
all the important parties involved in education, such as
teachers, students, policymakers, technology developers, and
institutional decision makers. It is anticipated that the proposed
set of ethical guidelines will act as a framework to advise and
direct educational stakeholders in the creation and application
of the advancement of artificial intelligence in education (AIED)
and will also stimulate the advancement of associated impact
studies in the field in the future.
What ethical concerns does AI in education raise? AI in
education can bring up a number of ethical concerns, including:

Bias and discrimination: AI systems have the potential
to reflect or magnify human biases and prejudices, which could
result in unfair or discriminatory outcomes for particular
student or teacher groups. A few examples of these concerns
include the use of incomplete, inaccurate, or unrepresentative
data by AI systems, as well as the application of opaque or
accountable algorithms.
Privacy and data protection: AI systems have the potential
to gather, store, process, and exchange a great deal of sensitive
personal data, including academic performance, behavior,
preferences, emotions, biometrics, and health information,
from students and teachers. Their right to privacy and data
protection may be violated by this, particularly if the
information is used for reasons other than education, like
commercialization, profiling, or surveillance.
The Safety and Security Principle:
Gathering user data is one of the primary purposes of
educational learning systems. This data is then used to forecast
user performance and learning behaviors. It is unavoidable to
consider a situation in which the data is most likely altered
or tampered with by someone else, or worse, by
cybercriminals.
The principle of security dictates that AIED must be
developed and executed in a way that guarantees the system’s
resilience against cyberattacks, data breaches, and corruption
risks, thereby guaranteeing the confidentiality and security
of sensitive data. The foundation of the idea of incorruptibility
in AIED is found in incorruptibility in AI, or the ability to
withstand malevolent manipulation by outside forces. AI
systems need to be “robust against human adversaries who
deliberately search for exploitable flaws in the algorithm,”
according to Bostrom & Yudkowsky (2014). Thus, it can be
said that data security and the integrity and incorruptibility
of the data go hand in hand. To avoid any abuse or violation,
it is imperative to protect the personal information of all

99
parties involved, including students, instructors, and
educational institutions. With virtual learning becoming more
commonplace, it is even more important to protect data privacy
and security, which calls for cooperation and self-awareness
on the part of all parties involved.
Because of this, it is essential that AIED developers take
great care when creating, honing, testing, and validating AI
systems for safety (Leslie, 2019). To ensure accountability and
robustness throughout the AI lifecycle, multistakeholder
groups, including educators, public authorities, and product
developers, should set up suitable mechanisms for oversight,
assessment, and due diligence (AHEG, 2020). In order to
ensure that AI users—both educators and students—get the
necessary training to operate the system safely in the
designated environment, this group should create
comprehensive guidelines.
Artificial intelligence (AI) has a daily impact on our lives
today and presents both opportunities and challenges for every
aspect of human endeavor, including education. The most
obvious risk among these appears to be the ethical concerns
surrounding the application of AI, such as the abuse of
personal information or life monitoring. Thus, the purpose of
this systematic review is to outline the main moral dilemmas
surrounding the application of AI-powered mobile apps in
the classroom and to enumerate some of the ramifications
derived from the studies that have been identified as being
relevant to this area of study. The PRISMA guidelines for
systematic information and meta-reviews served as the
foundation for this review study’s methodology.
The findings point to four fundamental ethical precepts
that ought to be adhered to, the most important of which is
algorithm vigilance, which calls for keeping an eye on,
comprehending, and averting the negative effects of algorithms
in the application of AI in education. In addition, it is
imperative to identify all relevant parties and ensure their
collective involvement and cooperation in order to ensure the

ethical application of AI in education. Since the current research
based on the review studies is limited and neglected in this
regard, the contribution of this study consists of highlighting
the need for collaborative research and cooperation of all
learners and users when using AI-related mobile technologies
in education with notable attention to the ethical issues.
Even though AI technology has many benefits for both
teachers and students, there are also risks and threats related
to ethical issues. These risks should be carefully considered
by conceptual and empirical studies that will clearly identify
potential threats. Privacy, or the lack of it, is one of these
main hazards. Users of AI technology built on algorithmic
apps knowingly provide personal information to be collected,
even though they are unaware of the precise nature and volume
of data being collected. Even though user consent is legally
required before using any AI technology, the user is actually
unaware of what is happening with their data in the system.
As a result, AI technology companies ought to reduce this
data and concentrate on incorporating only that which can
improve student learning.
Autonomy and agency: AI systems have the potential to
affect or impede teachers’ and students’ autonomy and agency,
which could have an impact on their capacity to make wise
decisions, exert control over their education, express their
creativity, or cultivate critical thinking abilities. For instance,
AI systems might offer advice or comments that are at odds
with the objectives, passions, or values of the students, or
they might substitute automated responses for human
interaction and direction.
Transparency and ability to explain: Students, teachers,
and other stakeholders may find it challenging to comprehend
or challenge the ways in which AI systems function because
they are opaque or complex. Their capacity to accept, validate,
dispute, or appeal the decisions or actions of AI systems may
be hampered as a result. AI systems might, for instance,

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employ “black-box” algorithms, which conceal the steps they
take to arrive at their conclusions or forecasts.
Accountability and responsibility: The design,
development, deployment, use, and impact of AI systems in
education may give rise to concerns about who is accountable
or responsible for them. The distribution of responsibilities
and roles among the various players in the AI ecosystem may
become unclear or lacking as a result. AI systems, for instance,
have the potential to harm people or make mistakes that are
not related to any particular human agent.
Why is it crucial to discuss the moral implications of
AI in the classroom?
 It’s critical to address AI’s ethical concerns in education
for a number of reasons.
 To uphold dignity and human rights: The basic human
rights and dignity of educators and students may be
impacted by the ethical concerns surrounding AI in
education. As an illustration,
 The right to an education free from discrimination may
be violated by bias and discrimination.
 The right to privacy may be violated by data security
and privacy.
 Agency and autonomy may infringe upon the freedom
of thought.
 The right to information may be violated by
transparency and the ability to explain
 Responsibility and accountability might infringe on the
right to a remedy.
To guarantee efficacy and quality: The efficacy and
quality of educational processes and results may be impacted
by the ethical concerns surrounding AI in education. As an
illustration,

 Discrimination and bias can lower an assessment’s
validity and accuracy.
 The confidence and trust of students may be
compromised by privacy and data protection.
 Learning participants’ motivation and engagement may
be hampered by autonomy and agency.
 Transparency and explanation skills may hinder
learners’ feedback and direction.
 Responsibility and accountability could jeopardize
learning assessment and advancement.
For example, bias and discrimination may make already-
existing inequalities and marginalization worse; privacy and
data protection may expose vulnerable groups to exploitation
or harm; autonomy and agency may limit student participation
and empowerment; transparency and explain ability may create
information asymmetries or gaps; accountability and
responsibility may shift the burden or blame to students. These
ethical concerns surrounding AI in education may have an
impact on inclusion and equity of educational opportunities
and benefits.
How can the ethical concerns surrounding AI in
education be addressed?
A multi-stakeholder approach involving cooperation
between educators, legislators, researchers, developers, and
other AI ecosystem actors is necessary to address the ethical
concerns surrounding AI in education. Among the potential
courses of action that are available are:
Creating ethical frameworks and guidelines: These can
offer a shared understanding and a set of values and principles
to direct the moral creation, application, and impact of AI in
education. For instance, in November 2021, UNESCO released
the “Recommendation on the Ethics of Artificial Intelligence,”
the first-ever worldwide standard on AI ethics.

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Putting ethical standards and practices into practice: To
guarantee the moral performance and conduct of AI systems
in education, ethical standards and practices can operationalize
moral frameworks and guidelines into specific actions and
measures. Information quality and transparency with
explaining skill, users overlook and discussions, privacy
protection policies and evaluation tools with users’
participations, etc. are a few examples of ethical practices and
standards.
Encouraging ethical education and awareness: Increasing
ethical literacy and competence among students, educators,
and other AI ecosystem stakeholders can be achieved through
ethical education and awareness. Curriculum integration,
professional development, public engagement, media literacy,
digital citizenship, and other activities are a few examples of
how ethical education and awareness can be promoted.
Increasing the effectiveness of ethical governance and
regulation: These policies can offer an institutional and legal
framework that guarantees the accountability and
responsibilities of AI actors in the educational system. Laws
and regulations, codes of conduct, ethics committees, oversight
bodies, complaint procedures, redress procedures, and so
forth are a few examples of ethical governance and regulation.
While artificial intelligence (AI) in education has enormous
potential to improve teaching and learning, it also presents
serious ethical issues that require careful thought and
resolution. We can make sure that artificial intelligence (AI)
is used in education for the benefit of people, communities,
and the environment by creating ethical frameworks and
guidelines, putting ethical practices and standards into
practice, encouraging ethical education and awareness, and
bolstering ethical governance and regulation.
A set of data that represents historical and systemic biases
in society is created whenever people create algorithms, and
this data eventually becomes algorithmic bias, even though

the bias is implicitly embedded into the algorithmic model
without conscious intention. We can observe various gender
and racial biases in various AI-based platforms.
Our focus will be on issues related to privacy, surveillance,
autonomy, bias, and discrimination, taking into account the
various forms of bias and ethical challenges of AI applications
in diverse settings. It is imperative to recognize, though, that
educators face a variety of ethical dilemmas and concerns
based on the grade level and developmental stage of their
students. We indicate the age and/or grade level of the
student(s) that are the target of recommended strategies and
resources.
Conclusion:
As we discussed, though there are some ethical implications
and risks in artificial intelligence-based education but those
should be avoided and omitted thoroughly by following the
safety and security principles while we use the AI in education.
As a learner or user of AI, we should personally aware of
what to do and what do not do. On the whole utilizing AI
enhanced education is indeed a gift to each and every learner
as well as teachers.

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12
Artificial Intelligence in
Education System: Utilization
and Challenges
K. Mohana
Introduction
Artificial intelligence can be described as the capacity of
a digital computer or a robot under computer control to carry
out tasks that are typically performed by intelligent entities.
An Intelligent Entity Made by Humans is another definition
of AI.
 Able to think and act logically and compassionately
 Capable of carrying out tasks intelligently without
needing specific instructions.
Robots are what a layperson with a cursory understanding
of technology would associate with it. Some might describe
artificial intelligence as a self-thinking, autonomous entity akin
to a terminator. Artificial intelligence is the term used to
describe machine intelligence. The domain of artificial
intelligence has become increasingly popular in recent years.
What is the Process of Artificial Intelligence (AI)?
Constructing an artificial intelligence system involves
meticulously transferring human characteristics and talents
to a machine, leveraging its processing power to outperform

human capabilities. One must delve deeply into the many sub-
domains of artificial intelligence and comprehend how those
domains could be applied to the many industries in order to
fully comprehend how artificial intelligence actually functions.
Additionally, enrolling in an artificial intelligence course will
enable you to obtain a thorough knowledge.
Machine Learning (ML):
ML trains a machine to draw conclusions and take actions
based on prior knowledge. Without requiring the use of human
experience, it finds patterns in historical data and examines it
to deduce the meaning of individual data points and
potentially draw conclusions. Businesses may save time and
make better decisions by using automation to evaluate data
and draw conclusions. You can sign up for a free introductory
machine learning course to understand the fundamentals.
Deep Learning:
One machine learning technique is called deep learning. It
teaches a machine how to classify, infer, and predict an
outcome by processing inputs through layers.
Neural Networks:
Human neural cells and neural networks operate according
to comparable principles. These are a set of algorithms that
process the data in a manner similar to that of the human
brain, capturing the relationship between numerous underlying
variables.
Natural Language Processing:
Natural Language Processing (NLP): NLP is the study of
how a machine can read, comprehend, and interpret language.
A machine reacts appropriately after it determines what the
user is trying to say.

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The Types of Artificial Intelligence?
3 Types of Artificial Intelligence
 Artificial Narrow Intelligence (ANI)
 Artificial General Intelligence (AGI)
 Artificial Super Intelligence (ASI)
Artificial Narrow Intelligence (ANI)?
At the moment, this is the most prevalent type of artificial
intelligence available. These artificial intelligence systems can
perform a single task extremely well since they are built to
handle a specific problem. As such, their skills are limited to
things like weather prediction and product recommendation
for online shoppers. As of right now, there is no other type
of artificial intelligence.
Artificial General Intelligence (AGI)?
AI is currently only a theoretical idea. In a wide range of
fields, including language processing, picture processing,
computational functioning and reasoning, and so on, it is
described as artificial intelligence with cognitive function
comparable to that of a human.

Developing an AGI system is still a long way off.
Thousands of Artificial Narrow Intelligence systems operating
in tandem and interacting with one another in order to
replicate human reasoning would be required for an AGI
system.
Artificial Super Intelligence (ASI)?
Though this is getting very close to science fiction, ASI is
thought to be the next natural step after AGI. A system with
Artificial Super Intelligence (ASI) might outperform any human
being. This would cover making decisions and doing it
rationally. It would also cover things like improving artistic
compositions and cultivating emotional bonds with others.
Artificial intelligence (AI) systems will be able to quickly
expand into domains we may not have even imagined until
we attain artificial general intelligence. The long road ahead
of us achieving AGI itself makes this seem like an idea that
lays far into the future, even if the gap between AGI and ASI
would be quite tiny (some claim as little as a nanosecond,
because that’s how fast Artificial Intelligence would learn).
What is Artificial Intelligence’s Use?
Artificial intelligence exists to support human talents and
enable us to make complex decisions that have wide-ranging
effects. In technical terms, that is the response. From a
philosophical standpoint, artificial intelligence has the promise
of enabling humans to lead more fulfilling lives free from
laborious tasks and of managing the intricate network of
interrelated people, businesses, states, and nations so that it
operates in a way that benefits all of mankind.
Which Benefits Does Artificial Intelligence Offer?
Without question, technology has improved our quality
of life. AI and other technologies have taken over several tasks,
including fraud detection, mobile banking, map directions,
and music recommendations. Between progress and

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devastation, there is a thin boundary. AI is one of those things
that always has two sides to it. Let us examine a few benefits
of artificial intelligence.
Advantages and Disadvantages of Artificial
Intelligence (AI)
Artificial Intelligence Requirements
1. A solid foundation in mathematics, particularly
probability, statistics, and calculus.
2. An excellent foundation in programming languages,
such as Python or Java.
3. A solid foundation in developing and comprehending
algorithms.
4. A solid foundation in data analytics expertise.
5. A solid foundation in discrete mathematics.
6. The desire to master languages used in machinelearning
AI in Everyday life
A list of AI applications that you can come across in daily
life is provided below:

Online shopping: Personalized recommendations are
given to users based on their past searches and purchases
thanks to artificial intelligence.
Digital personal assistants: AI is used by smart phones
to offer customized services. AI assistants can assist users with
question answering and hassle-free daily routine organization.
Take a look at AI services here.
Machine translation: Artificial intelligence (AI)-based
language translation software can assist users in understanding
different languages by translating text, providing subtitling,
and detecting language usage.
Cyber security: By identifying trends and tracking down
the attackers, AI systems can assist in identifying and
combating cyber-attacks.
Open Source Robotics:
These days, robots with AI capabilities are marketed as
open-source systems.
 This allows users to programme robots to carry out
unique duties according to a particular application.
 For instance, small-scale farming

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What Is the Greatest Utility of AI Technology?
Artificial intelligence is a great tool since it provides a
number of important advantages, including:
Automation: AI is capable of automating tiresome
procedures or jobs without causing weariness.
 Enhancement: By enhancing end-user experiences and
providing superior product recommendations, artificial
intelligence (AI) can successfully enhance all products
and services.
 Accuracy and Analysis: Compared to humans, AI
analysis is substantially quicker and more accurate.
AI can make smarter decisions by utilizing its capacity
to analyze
Future of Artificial Intelligence
Since we are currently seeing the greatest technology
developments in human history, fiction and technological
changes have always captivated us as humans. It appears that
artificial intelligence will be the next great thing in technology.
Global organizations are developing ground-breaking
advances in machine learning and artificial intelligence. In
addition to having an influence on humankind and every
industry, artificial intelligence is also the primary force behind
the development of cutting-edge technologies like big data,
robots, and the Internet of Things.
The Curriculum’s Integration of AI
Artificial Intelligence (AI) in the classroom has the power
to completely change how teachers and students are educated.
With the help of AI algorithms, students can receive tailored
feedback and recommendations, making their education more
successful and interesting. Even with these possible
advantages, integrating AI in the classroom comes with a
number of drawbacks. The advantages of using AI in the
classroom, the difficulties that educators encounter, and the

most efficient ways to incorporate AI into the curriculum are
all covered in this essay. In order to fully realize AI’s potential
in education, the paper also emphasizes the necessity of
continued research and development in this field.
Challenges of Using AI in The Classroom
While using AI in the classroom has many advantages, there
are a number of obstacles that educators must get past. Having
the necessary technical knowledge is one of the main obstacles.
It could be challenging for educators who are unfamiliar with
artificial intelligence (AI) to incorporate this technology into
their lesson plans; they might require assistance and training to
get going. The price of AI tools and applications is another
issue. Many colleges and universities lack the funding to buy
and maintain the equipment required to integrate AI into the
classroom; as a result, they might have to look outside the
institution for partnerships or outside funding.
The Best Methods for Using AI in the Classroom
AI in the classroom best practices can assist educators in
integrating this technology into their lessons and giving
students a more engaging and customized learning experience.
Here are a few crucial best practices to take into account.
1. Partner with A Reliable AI Provide.
Securing a dependable and trustworthy AI partner is
essential to implementing AI in the classroom successfully.
This could be a non-profit AI education specialist group, a
nearby university, or a tech company. With the correct partner,
instructors can successfully integrate AI into their lesson plans
by receiving assistance, direction, and training.
2. Start Small
Teachers should start small and work their way up with
AI instead of attempting to integrate it throughout the
curriculum. As a result, educators can become more

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comfortable using the technology, develop their confidence,
and improve their methods of instruction over time. To begin
with, educators could use AI-powered learning games in their
classes or use AI algorithms to provide each student individual
feedback on their assignments.
3. Foster Ethical and Critical Thinking
Students have the chance to gain a critical perspective on
AI and its effects on society by utilising it in the classroom.
Instructors ought to push their pupils to reflect critically on
the moral implications of artificial intelligence as well as the
possible fallout from its widespread application. By doing this,
students can learn how to be responsible, knowledgeable
digital citizens who can successfully navigate the opportunities
and challenges presented by the digital age.
Teacher–Student Collaboration
AI can help teachers and students work together more
effectively, which will improve the educational process as a
whole. AI can assist teachers in identifying students’ learning
styles, areas of strength, and weaknesses so they can modify
their pedagogical approaches. This is done by giving them
access to real-time analytics and insights. Teachers can adjust
the lesson in real time thanks to in situ assessments and instant
feedback. AI can be used to alert teachers to which students
are having difficulties and when they are, as well as to suggest
potential solutions. AI can act as a brainstorming partner to
find practical ways to enhance student learning. AI technology
can assist educators in responding to a range of queries from
students during class. Since human teachers are limited in their
knowledge, students’ unexpected and unconventional
questions may present a challenge.
Conclusion:
This AI paper serves as a comprehensive exploration of
artificial intelligence, traversing its evolutionary process,
diverse machine learning techniques, and distinct types. From

Narrow AI (ANI) designed for specific tasks to the apparitional
realms of achieving human-like intelligence (AGI) and the
theoretical constructs of super intelligent AI (ASI), the
spectrum of AI’s potential is vividly outlined. The paper
meticulously examines the multifaceted uses and benefits AI
offers across various domains, underscoring its transformative
impact on industries and society at large. Furthermore, an
insightful analysis of methods employed in AI development
underscores the intricate blend of traditional and cutting-edge
approaches driving progress. By providing a nuanced
understanding of AI’s evolution, capabilities, and applications,
this presentation contributes to a holistic comprehension of
the ever-expanding field of artificial intelligence, leaving room
for anticipation and further exploration.
References
1 Chen, W., Y. Liang, and D. Liang. 2020. “Artificial intelligence
in education: A review of the literature.” Educational Technology
Research and Development 68 (1): 65-83.
2· Hua, M.T.A. Promises and Threats: iN2015 Masterplan to
Pervasive Computing in Singapore. Sci. Technol. Soc. 2012, 17,
37–56.
3· Ahmad, M.F.; Ghapar, W.R.G.W.A. The Era of Artificial
Intelligence in Malaysian Higher Education: Impact and
Challenges in Tangible Mixed-Reality Learning System toward
Self Exploration Education (SEE). Procedia Comput.
Sci. 2019, 163, 2–10
·4 Ministry of Education, Science and Technology of the Republic
of Korea (MEST). Smart Education Promotion Strategy;
President’s Council on National ICT Strategies: Seoul, Korea,
2011.
5· Knox, J. Artificial intelligence and education in China. Learn.
Media Technol. 2020, 45, 298–311.
6· Luckin, R.; Holmes, W.; Griffiths, M.; Forcier, L.B. Intelligence
Unleashed—An Argument for AI in Education. 2016. Available
online: http://discovery.ucl.ac.uk/1475756/ (accessed on 20
January 2021).

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13
AI for Skill Development
Mrs M.Kavitha and Mrs V. Varalakshmi
INTRODUCTION:
Artificial Intelligence (AI) refers to the stimulation of
human’s intelligence in machines that are programmed to
think, learn, and perform tasks that traditionally require human
intelligence. The goal of AI is to develop systems that can
execute tasks that typically require human intelligence, such
as visual perception, speech recognition, decision-making, and
language translation.
AI is divided into two primary categories: general AI (also
known as strong AI) and narrow AI (sometimes known as
weak AI). Narrow AI is designed to perform a specific task,
such as facial recognition or language translation, while
General AI would have the ability to understand, learn, and
apply intelligence across a wide range of tasks – similar to
human intelligence, but this level of AI is largely theoretical
at present.
AI has found applications in numerous industries,
including healthcare, finance, education, transportation, and
entertainment. It has the potential to enhance efficiency,
improve decision-making processes, and address complex
challenges. However, the development and deployment of
AI also raise ethical and societal considerations, including

issues related to bias, transparency, and the impact on
employment. As AI continues to advance, researchers and
policymakers are working to ensure responsible and ethical
development to harness the benefits of this technology while
mitigating potential risks.
Assistive Technology:
External devices created, manufactured, or modified to
help a person carry out a certain task are known as assistive
devices. Many people with disabilities depend on assistive
devices to enable them to carry out daily activities and
participate actively and productively in community
life.Disabled people have a greater chance to live
independently, obtain and maintain a job, and enjoy many
societal benefits in today’s society more than ever before
Assistive and adaptive technology has helped that vision and
reality. For instance, there is software available on the market
that, with repetitive practice, an easy-to-use interface, and
relevant life skills instruction, can help students with severe
disabilities achieve independence. This wikibook will make
recommendations for the kinds of content-specific assistive
technology applications that could be utilized to teach students
in a life skills classroom functional skills. In the context of this
wikibook, life skills students are children in middle and high
school with severe disabilities, typically of a cognitive
character, whose cognitive demands go beyond the typical
curriculum to include concepts and subject matter that would
enable them to succeed in society.
People who struggle with speaking, typing, writing,
remembering, pointing, seeing, hearing, learning, walking, and
many other tasks can benefit from assistive technology.
Different disabilities require different assistive technologies.As
IDEA 2004 states, this is a legal obligation for our school
districts to deliver to students of special life skills
needs. Administrators, instructors, staff, parents, and students
should be aware of the software options available to support

117
the acquisition of life skills by kids in order to guarantee an
inclusive learning environment and opportunities for all
students. The development of functional abilities helps
impaired students participate successfully in the community.
Development of functional skills also enhances a person’s
reputation and sense of dignity. Assistive Technology can:
make it easier to do things • keep you safe. a system to use.
There are various levels: Level 1 of Basic Assistive Technology
Level 2 is for standard assistive technology; Level 3 is for
specialized assistive technology. Level 4 Complex Assistive
Technology.
Software Offering Functional Skill Content
Today’s market offers a wide variety of software options
for providing impaired pupils with functional skills content.
Here are ten software examples that would be beneficial
teaching functional skills to life skills students. The table below
and the application description follow, with the instructional
domain(s) it satisfies indicated.
Instructional Domains
1. Self-Management/Home Living
2. Vocational
3. Recreation/Leisure
4. Community Functioning

Functional Skills Software Examples
Functional Skills
Software Titles
Self-
Management/Home
Living
Vocational Recreation/Leisure
Community
Functioning
Banking Math
Software Flex
X
Survival Signs X
Cause & Effect Sight
& Sounds
X X
From the Classroom
to the Workplace
X
Functional Skills
System on the iPod
Touch
X
Job Survival
software series
X
In Sequence: Daily
Living Skills
X X X
Out in the
Community
X X
My Time X X X X
Daily learning
activities
X X X X

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Informal Online learning
Informal Online learning is Self-guided digital pursuit of
knowledge, information, and community that happens outside
formal educational programs such as degree-based programs
or structured online professional development modules.The
“Self-Directed Online Learning Environments (SOLE) Research
Team” at undertook an analysis of 305 informal learning
websites in reference to research on informal and self-directed
online learning environments.
Indiana University (IU) (Kim et al., 2014). From this
analysis we chose the following the characteristics to define
categories of informal online learning (Bonk, 2016). Please note
that many informal online learning communities will fall in
more than one category.
 Language learning
AI-powered language learning systems are able to
determine a student’s level of skill, preferred method of
learning, and rate of learning and adjust the lessons properly.
This personalization ensures that students receive content that
challenges them without overwhelming, making the learning
process more efficient and enjoyable.Technological supported
language learning resources that integrate sound, voice
interaction, text, video, and animation. This category supports
real-time interactive learning without being restricted by a
physical place and time.
 Outdoor and adventure learning
Outdoor experiences like climbing, mountaineering, ropes
course, assault courses, or outdoor sports like canoeing,
sailing, and orienteering are common components of outdoor
adventure learning. These can be organized as intensive
residential courses or shorter courses run in schools or local
outdoor centers. Outdoor and adventure learning are hybrids
of online educational environments where students have
opportunities to explore real-world concepts, issues, and topics
through an authentic learning experiences within online

collaborative learning structures. Often including inquiry-
based learning including teamwork, authentic data analysis,
and project-based learning to support engagement and
interaction.
 Social change/global
Social change/global resources are communities that aim
to educate and inform people about issues and needs. This
frequently results in creative approaches to promoting social
justice and global access to education. It is also employed to
uplift and motivate community members.
AI can help educators tailor their instruction to each
student’s needs so they can progress at their own pace. Some
well-known educational platforms, like Carnegie Learning,
currently provide customized courses using Artificial
Intelligence. Education contributes to social change in several
ways. It develops democratic principles, encourages critical
thinking, boosts economic growth, encourages social mobility,
and eases cultural transformations.
AI has been effectively applied in a number of educational
settings, from helping with language acquisition and
translation to outsourcing homework and assignment marking.
It has also been used to make lesson plans and interactive
activities to help young children with their social and intellectual
skills.
 Virtual education
Virtual education refers to online learning environments
where teachers and students are not necessarily within the
same space or time. The content is provided through course
management applications as well as various multimedia and
Web 2.0 tools. Virtual education may be managed by
organizations and institutions that have been created through
alliances and partnerships to facilitate teaching and learning.
Many virtual education websites provide tools for both the
learner and educator. A virtual learning environment is one
in which teachers use audio or video to lecture students

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through a digital curriculum. There are two possible learning
environments for this instruction: asynchronous (self-paced)
and synchronous (real-time). Online learning has numerous
advantages, one of which is the ability to have a more flexible
schedule can lower the price of your degree and make it easier
for you to pursue further education and career advancement
at the same time.
 Learning portals
Learning centers with instructive content on a subject that
enhances user and context learning are assigned to learning
portals. Information can be acquired according to a person’s
interests, availability, and time. This data is frequently up to
date or updated frequently. Artificial Intelligence (AI) has the
potential to revolutionize education in a number of ways, such
as by personalizing learning experiences, streamlining
administrative processes, enhancing accessibility, and giving
instructors and students immediate feedback.
 Shared online video
Shared online video includes any educational video
(uploaded content and live streaming) that can be watched or
shared. Some content is provided in professional contexts
while other can be simply home-made. These sites often allow
for interaction via comments and messaging. Additionally,
videos can allow for downloading of content. Video-based
learning literally refers to learning experiences facilitated
through video. With its ability to combine camera footage,
animation, graphics, text, and audio, videos create a multi-
sensory learning experience, unlike any other e-learning
format.
High Accuracy in Tasks Completion
Learning centres with content are assigned learning
portals. Robots are accurately diagnosing fatal illnesses and
operating on patients to preserve their lives. AI systems can
do critical tasks and solve complex solutions and obtain

accurate results. Because of this advantage, AI is highly
adopting by the healthcare sectors. Robots are accurately
diagnosing fatal illnesses and operating on patients to preserve
their lives. Moreover, AI in healthcare is greatly influenced
radiology and digital consultation applications.”
Although reports indicate that AI programs can be at least
95% accurate on a regular basis, AI programs cannot determine
whether or not the data being analyzed is accurate, so usually
overall accuracy is much lower but normally higher than 80%.
It’s a statistic for forecasting a machine-learning model’s
accuracy.
The degree to which an AI system generates accurate
outputs or predictions given the inputs or data is known as
AI accuracy. An AI system’s accuracy, for instance, can be
measured by looking at the percentage of photos it properly
identifies as belonging to a certain animal species, such as dogs,
cats, birds, etc. Artificial intelligence (AI) has the power to
completely transform the way we teach and learn, improving
accessibility, efficacy, and efficiency.
The tasks that can be completed with AI machines are
more concrete. To further explain this concept, an AI machine
can potentially work much better than a standard employee.
The accuracy especially can be much greater since the repetitive
tasks are learned and deployed at a greater rate. Not only
that, AI machines are creating a much more competitive
environment. AI machines are known to surpass an employee’s
accuracy.
Automates and Improves Work Processes
The field of education has always been dynamic and ever-
evolving. AI is the result of new research, technology, and
the widespread transition from in-person to virtual learning
during limitations.
Artificial intelligence (AI) is recently gaining popularity
in every industry, but how is AI used in Education?

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AI has been a part of education technology for some time,
but is recently gaining widespread adoption. Artificial
intelligence (AI) has the power to completely transform the
way we teach and learn, improving accessibility, efficacy, and
efficiency. From personalized learning to automating
administrative tasks, AI is being used in a wide range of ways
in education.
It has been demonstrated by the aforementioned AI
advantages that AI-powered devices automate the entire job
process. Next, new opportunities will open up to businesses.
Thus, overall business performance is increased. Many
researchers are agreed that AI can do all tasks that are
performed by humans.
10 AI Use Cases in Education
1. Course and Lesson Plan Creation
 AI is revolutionizing the production of lesson plans
and courses in education, making it quicker and more effective
than before. Teachers may design excellent, customized
courses and lesson plans that meet the requirements and
interests of their students with the use of AI-powered
technologies.
 AI resources for creating lessons:
 A few AI resources that educators can use to plan
lessons are ChatGPT, Education Copilot, and Top Hat.
 Teachers can construct engaging and interactive classes
by using a configurable course content collection that
is accessible through Top Hat’s Content Marketplace.
 AI-generated structured lesson plans and instructional
materials can be produced via Education Copilot.
l Lastly, you can utilize ChatGPT as a substitute for
a search engine by asking the discussion chatbot to find the
precise answer to your lesson planning query. Rather than

sifting through a list of Google results, like “I teach _____
grade _____,” you may ask ChatGPT any inquiry. Which high-
yielding techniques are appropriate for teaching the ____
lesson? “What are some topics or conversation starters that
can get students talking?” At any stage of the preparation
process, you can ask ChatGPT for a lesson plan, a rubric,
information, and an infinite number of individual prompts.
2. Differentiated Learning
While differentiated learning has always been important,
using AI to better target lessons to each student’s specific
requirements have made it easier to do so. Teachers can create
personalized learning routes for their students by utilizing
AI-powered technologies that take into account each student’s
unique learning preferences, skills, and shortcomings. These
systems can evaluate student data, including test results,
attendance logs, and even behavioral tendencies, to suggest
learning activities and resources that are specifically tailored
to the needs of each individual student.
Students can also benefit from mastery-based progression
and self-directed learning through AI-powered differentiated
learning, which lets them study at their own speed and
concentrate on the areas where they need the most help.
AI tools for personalized & differentiated learning:
Dreambox, Smart Sparrow, and Kendton are a few adaptive
learning platforms that educators can use to put this into
practice. These systems employ AI algorithms to evaluate
student data and make tailored lesson and activity
recommendations for each student according to their unique
learning preferences, skills, and development. This makes it
possible for teachers to effectively differentiate instruction
for every student, which can improve academic performance
and encourage deeper engagement with the subject matter.

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3. Automatic Grading
One of the most intriguing ways AI is changing teachers’
workloads and productivity is through auto grading. Teachers
may find grading to be a tedious and daunting endeavor, but
artificial intelligence (AI) can streamline this process by marking
written work.
Tools for AI grading:
For instance, a teacher may utilize Gradescope, an AI-
powered grading service that lets teachers upload assignments
and tests and uses machine learning algorithms to automatically
grade them. Before sending the grades to the students,
teachers can quickly examine and make adjustments.
Grading range for homework assignments
In addition to the abundance of emerging artificial
intelligence grading aid programs, there are many people who
are hesitant to use them for important essays, assignments, or
tests. However, utilizing AI tools to assist in grading might
save teachers a significant amount of time and lessen grading
prejudice.
4. Identifying Knowledge Deficits
AI is capable of analyzing student data to find gaps in
knowledge and skills. AI can create diagnostic tests that
pinpoint areas in which students might be having difficulty
by examining data from assignments and tests.
Tool for diagnosing students’ assessments:
Teachers may assist their students reach their full potential
by giving them personalized support based on their
knowledge gaps, which can be found utilizing AI-powered
technologies. Higher student involvement and better academic
results can result from these criteria.

5. Test Preparation: Teachers’ approach to exam
preparation is being revolutionized by AI-powered test prep
software. These programs evaluate student data using natural
language processing technology and offer focused practice
questions to assist students become more proficient test takers.
6. Task Automation & Admin
The way that teachers automate their everyday
responsibilities and schools handle administrative tasks is being
revolutionized by AI-powered tools. These solutions can
expedite administrative work and decrease the amount of time
teachers spend on administrative activities by utilizing machine
learning algorithms.
7. Personalized, Online Tutoring
Tutoring supported by AI is transforming the way students
learn their assignments. AI-powered tutoring systems can
offer students individualized support through machine
learning algorithms, letting them work at their own pace and
get help when needed.
8. Giving Student Feedback Giving feedback to students
is one of the most important aspects of a teacher’s work. It
goes beyond simply marking a student’s response as correct
or incorrect to include providing them with thorough
explanations of how to do better. This can be a laborious
procedure, and occasionally teachers’ evaluations can be
biased, which deters some students. AI, on the other hand,
can offer a more effective and impartial method of gathering
student feedback.
9. Equitable and Flexible Access
Modern education must provide flexible, universal access,
and artificial intelligence (AI) can aid in bridging the gap
between students with various backgrounds and learning
styles. Teachers can give every student, including those who
speak more than one language or have hearing difficulties,

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equal access to education by utilizing AI technology. Regardless
of the accent or pronunciation of the teacher, AI technology
can automatically translate speech to text, which makes it easier
for students to understand lectures. Also, it may offer
multilingual students translations in real time.
10. Better online education
In the digital age, AI is changing the way that students
learn. AI-powered products can offer individualized learning
experiences by measuring progress and modifying the task or
game to make it more difficult or easier based on that
information through the use of machine learning
recommendation algorithms.
Implants
Research on neuro technology is expanding; initially, it
was intended to treat neurological conditions and traumas,
such as quadriplegic individuals. With Elon Musk’s Neuralink
firm developing an implant that can wirelessly transmit brain
activity, the relationship between a human and a machine is
being tested [21]. Applications and technologies that use brain
activity to translate into physical movements are made possible
by this relationship. This is a step toward the creation of
cyborgs—people that are half machine and half human.
Conclusion:
To sum up, AI has the power to completely transform
skill development by addressing skill gaps, streamlining
processes, and customizing learning experiences. But putting
it into practice calls for giving ethical ramifications a lot of
thought as well as a dedication to supporting a cooperative,
people-centered method of skill development. Prioritizing the
development of skills that enhance and supplement the distinct
capacities of both humans and computers is essential as we
manage the integration of AI into education and training.

References
1. http://en.wikibooks.org/wiki/Computer Science:Artificial
Intelligence
2. https://en.wikibooks.org/wiki/Assistive Technology in
Education/Life Skills
3. http://www.library.thinkquest.org
4. https://www.javatpoint.com/application-of-ai
5. Scherer, M. (2002). The importance of assistive technology
outcomes. Institute for Matching Person and Technology.
Retrieved July 12, 2009, from http://www.e-bility.com/
articles/at.php
6. Individuals with Disabilities Education Act of 2004 (IDEA
2004), 20 U.S.C. Sec. 1401 retrieved on July 10, 2009 at http://
idea.ed.gov
7. https://www.educba.com/artificial-intelligence-techniques/
8. ht tps: //w ww. c igi onli ne. or gw /ar tic l es/ c ybe r -
securitybattlefield/?utm_source=google_ ads & utm medium=
grant & gclid= EAIaIQobCh MIsdz9q LSF AIVz Q0rCh1bNQyl
EAA YAiAAEgI40 D BwE
9. http://www.google.co.in
10. https://en.wikibooks.org/wiki/Information Technology and
Ethics/Current Robotic Ethics
11. h tt ps : // e n. wi k ib o ok s. o r g / wi ki / We b _2 . 0 _ an d
EmergingLearningTechnologies/Online Learning
Communities
12. https://en.wikibooks.org/w/index.php? title=Special: Search
& limit=50 & offset=0 & ns0=1 & ns4=1 & ns102=1 & ns110=1
& ns112=1 & search=AI+IN+ SKILL+ DEVELOPMENT &
search Token=ed4e1tk8 gwzzkt wewwism4ia0

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14
Implications of AI in
Education
Niyati Anirudhbhai Pathak
Introduction
Usually, when people hear about AI, they imagine¬
applications capable of making decisions or having a
conversation. But what often slips our mind is the growing
influence of AI in shaping our learning process and
understanding of new concepts. Technology is evolving rapidly
in the education world. Artificial Intelligence (AI) and machine
learning are¬ making sizable impacts in numerous aspects of
education. Contrary to some lingering misconceptions, AI’s
usefulness goes way beyond grading student assignments.
Both teachers and students stand to gain a great deal from
this technological breakthrough. Having said that, in our
rapidly evolving world, numerous schools are still grappling
with the task of integrating cutting-edge digital technologies.
These technologies pave¬ the way for innovative teaching
methods. Before we dive¬ into how to tackle these challenges,
let’s explore¬ three ways in which AI and educational
technology are being embraced in the educational sector:
Personalized Learning:
Each student is unique – they think differently, learn at
varied speeds, and have distinct hobbies and preferences.

Unfortunately, these differences sometimes mean that not
every student receives the¬ necessary attention and style¬ of
education they require¬. However, artificial intelligence
presents an opportunity to change¬ this. AI can help form
individualized learning programs that cater to each student’s
specific needs, aspirations, and abilities. These¬ personalized
programs can bridge any learning and teaching gaps, proving
especially useful for students trying to catch up with their
peers who may already have a grasp on new concepts.
Automation allows for the automation of tasks that were
previously tedious, repetitive, and time-consuming. This not
only reduces stress levels but also increases productivity.
Teachers can now automate certain tasks to free up their time
and make adjustments to their daily routines as necessary.
This technology enhances teachers’ efficiency and flexibility
in their work.
Artificial Intelligence (AI) Chatbots:
The utilization of AI-powered chatbots enables round-the-
clock accessibility, allowing individuals to learn at their own
convenience and from any location. Additionally, these
chatbots have the ability to instantly interact with students
and provide regular updates. Given the growing requirement
for self-service and support in the education sector, AI chatbots
play a pivotal role in enhancing learning experiences for
students by offering them a more efficient and interactive
learning environment. Moreover, educators and staff members
can allocate their time and energy towards other tasks, as
chatbots are capable of engaging with multiple students
simultaneously.
Getting Started with AI in the Education Sector:
Although AI has entered the education sphere, it cannot
be implied that the adoption will continue being an automated
process. There are many reasons why educational leaders may
decide that it is not worth their while to introduce AI into the

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classroom-time and cost are just some of them. As AI
ultimately enhances the students’ learning experience,
institutions will need to find ways to overcome these
challenges, in particular:
 Limited understanding of AI in the education sector.
This could lead to inhibition for use of AI in the
curriculum.
 The ambiguity about teachers’ position. Do we have
enough money and time to re-train the teachers? If so,
how?
 AI implementation questions regarding resources. It
may not be easy to comprehend what budgets,
equipment, and bandwidth is required, and this may
lead to scrapped projects.
To overcome these challenges and begin implementing AI,
you need to answer this question from the outset: The answer
is simple: what do you want from a human being?
However, this is a visionary answer and many
organizations are unclear as to what AI should do for them.
Learn about AI, understand what it can offer, and find out
the issues it can address. Always know that you have to begin
with basic stuff then incorporate the use of AI, get feedback
and then advance.
After asking yourself that question, assessing the needs
and establishing the right approach for implementation could
be very tuff. Know that AI is all about data. That, therefore,
will require identifying existing data sources and any new
sources of data required for the agreed upon AI vision. At
this point in time, you should identify internal resources, and
partners available externally.

Positive Effects of AI on the Education Sector
1. Increased Focus on Personalized Learning
Personalized learning, gaining popularity for motivating
and engaging students, is one of the primary benefits of
artificial intelligence in the education sector.
AI systems monitor students’ progress, spot their weak
points, and offer tailored learning resources and suggestions.
It has been discovered that customized learning, which allows
students to study at their own pace, improves academic
performance.
2. The power of Organized Information
AI provides the advantage of organized information,
allowing students to access knowledge from various sources
effortlessly. With AI-powered systems, educational platforms
can efficiently categorize and present information, enabling
students to find relevant resources quickly and enhancing their
learning experiences.
For example, in business, organizing customer data allows
for targeted marketing campaigns and personalized customer
experiences. In education, organizing course materials and
resources enhances learning outcomes. In personal life,
organizing schedules and tasks increases productivity and
reduces stress. Overall, organizing information empowers
individuals and organizations to operate more effectively and
achieve their goals efficiently.
3. Empowering Students with Special Needs
Artificial intelligence offers unparalleled adaptability in
catering to the unique needs of students. By leveraging AI,
individualized learning experiences are tailored to each
student’s pace, providing invaluable one-on-one attention.

133
4. Advanced Educational Quality and Academic
Standards
Artificial intelligence offers a cutting-edge approach to
enhance student engagement across all educational levels.
Through interactive learning methods beyond traditional
institutions, AI can dynamically alter course content, provide
instant feedback, and gauge student involvement. AI enriches
teaching methodologies by providing students with a unique
educational experience. Students can access resources beyond
the classroom and receive real-time feedback through AI
interactions, unlocking new possibilities for learning and
growth.
5. Enhanced Learning Experience
To make learning more fascinating and engaging, AI
technology offers immersive and interactive learning
experiences like virtual reality and augmented reality. In a
safe and regulated atmosphere, students can participate in
simulations and real-world situations, which can help them
better learn and remember subjects. For instance, children
studying biology could explore the inside of a cell or witness
the process of photosynthesis in a virtual lab, providing a more
engaging and memorable learning experience.
6. Increased Accessibility
AI technology is an equalizer as it removes barriers such
as socioeconomic status, geographic location, and disability.
Young learners, regardless of their backgrounds or locations,
can access all educational opportunities thanks to AI-powered
learning tools. For instance, students can study a new language
at their own pace and without the help of an instructor using
AI-powered language learning apps.
7. Cost Savings
Another benefit of AI is cost-effectiveness. Yes, technology
can lower the cost of education by automating difficult tasks

and facilitating customized instruction for every student. This
may lessen the need for tutors and teachers, saving time and
money for both students and educational institutions.
Negative Impact of AI on the Education Industry:
1. Job Displacement
One of the biggest concerns about AI’s involvement in
education is the potential job displacement of teachers and
educators. AI-powered tools can replace important tasks
teachers perform, such as grading and providing feedback.
This could impact the demand for teachers, resulting in job
losses.
2. Emotional Intelligence Limitations
The lack of emotional intelligence plays a crucial role in
learning and studying for many individuals. While AI
technology has its merits, it should only partially replace
teachers, as they offer more than just information. AI is still
in its early stages of development regarding human interaction
and personal connections, making it essential to maintain the
invaluable role of human educators in the learning process.
3. Bias and Inequality
Biased AI algorithms may lead to inequality and
discrimination. For instance, AI-driven admissions processes
might bias against particular student groups based on their
socioeconomic situation or family background. Similarly,
grading algorithms based on AI might be prejudiced against
particular types of responses or writing styles.
4. Privacy and Security
AI-powered learning systems gather a wide range of
student information, including their behaviour, learning
progress, and personal data. Cyberattacks and data breaches
could endanger students’ security and privacy if this data is

135
exposed. Unauthorized access to AI systems can cause serious
security issues impacting students’ lives.
5. Dependence on Technology
The use of AI-powered learning tools requires access to
modern technology, including computers, smartphones, and
the Internet. This could lead to a greater dependence on
technology, potentially resulting in a decrease in critical
thinking and problem-solving skills.
6. Maintenance Challenges
Regarding artificial intelligence in education, there are
several drawbacks related to maintenance. It is crucial for
authorities to closely monitor AI systems, as they operate
based on a finite body of knowledge and can have unintended
consequences if pushed beyond their capabilities. Different
AI machines may also have incompatible languages, leading
to coordination issues and rendering them non-functional at
critical times. Despite these challenges, we have explored the
extensive advantages of artificial intelligence in education and
its potential for transforming the educational landscape.
Implications of AI on the Education Industry
The effects of AI on education are extensive and complex,
with implications dependent on its creation, application, and
management.
How to balance it out?
1. Need for Regulation
Regulation of AI research and application in education is
necessary to guarantee its moral and responsible application.
Regulations should cover topics like prejudice, privacy, and
security and make sure that all students may use AI-powered
learning tools. But on the other hand, there should be control
over students’ use of AI.

2. Collaboration between AI and Teachers
AI should be used to support teachers instead of replacing
them in the classroom. For individualized instruction and
feedback, teachers should collaborate with AI-powered
learning technologies. Smart classes should be installed, and
students should be familiarized with them.
3. Investment in Infrastructure
A considerable investment in infrastructure, such as
computers, smartphones, and the internet, is required to ensure
all students can access AI-powered learning tools. It is
important to direct this investment towards disadvantaged
students to avoid leaving them behind in the digital divide.
4. Lifelong Learning
AI-driven learning systems can encourage lifelong learning
by enhancing accessibility and personalization of instruction.
However, to stay up with the quickly changing technological
scene, both educators and students need to upgrade their
knowledge and skills consistently.
5. Ethical and Social Implications
Guidance on the ethical and societal implications of AI
development and implementation in education is necessary.
It includes tackling issues like bias, privacy, and security and
ensuring that AI-powered learning tools encourage inclusivity
and diversity.
6. AI Trends in Education
According to the research, the following are the major
trends in AI in education:
 The popularity of platforms for personalized learning
and adaptive learning is increasing.
 The use of chatbots and virtual assistants is growing
in educational institutions.

137
 Grading and assessment using AI is becoming more
popular.
 Gamification and simulation are being used more and
more in education.
Conclusion
By providing personalized, accessible, and effective
learning experiences, AI has the potential to revolutionize the
education sector. However, educators, policymakers, and
technology developers must work together to ensure that AI-
driven learning tools are used ethically and responsibly. In
conclusion, all stakeholders in education need to recognize
these issues and strive to implement ethical and responsible
AI practices. Ultimately, striking a balance between the
benefits AI can provide and the ethical concerns it raises will
be essential for successfully integrating AI in education.
Works Cited
Zhang, K., & Aslan, A. (2021). AI technologies for education: Recent
research & future directions. Computers & Education: Artificial
Intelligence, 2, 100025. https://doi.org/10.1016/
j.caeai.2021.100025
Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (n.d.). The impact of
artificial intelligence on learner–instructor interaction in online
learning. International Journal of Educational Technology in
Higher Education. https://doi.org/10.1186/s41239-021-00292-
9
Wikipedia contributors. (2023, November 20). Artificial intelligence.
Wikipedia. https://en.wikipedia.org/wiki/
Artificial_intelligence
Watkins, A. (2023, August 2). How AI Is Impacting The Way We
Learn: Key Trends And Insights. eLearning Industry. https://
elearningindustry.com/how-ai-is-impacting-the-way-we-learn-
key-trends-and-insights

Ahmad, S. F., Han, H., Alam, M. M., Rehmat, M. K., Irshad, M.,
Arraño-Muñoz, M., & Ariza-Montes, A. (2023). Impact of
artificial intelligence on human loss in decision making,
laziness and safety in education. Humanities and Social
Sciences Communications, 10(1). https://doi.org/10.1057/
s41599-023-01787-8
Artificial Intelligence in education. (2021, December 10). Times of
India Blog. https://timesofindia.indiatimes.com/readersblog/
newtech/artificial-intelligence-in-education-39512/

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15
Unlocking the Future of
Education: The
Transformative Power of
R. Sathiya Priya and Dr. S. Senthilnathan
Introduction
Education is one sector of the rapidly evolving
technological landscape where innovation is making significant
progress. The way we interact with, learn from, and teach
educational content is being completely transformed by
artificial intelligence (AI). AI is changing education and
providing a window into more dynamic and productive future
for students of all ages. Examples of this include intelligent
tutoring systems and personalized learning experiences.
The World Economic Forum claims that improvements in
artificial intelligence (AI) have the potential to improve and
level the playing field in educational institutions. AI has the
potential to hasten education systems’ long-overdue transition
to inclusive learning, which will equip youth to prosper and
create a brighter future. Teachers can also improve their
professional development and teaching practices by utilizing
these technologies.

Individualized Education for Every Learner
A notable use of AI in education is its capacity to provide
individualized learning opportunities. More and more,
individualized teaching materials are replacing the outdated,
one-size-fits-all methods. In order to design a personalized
learning route that allows each student to advance at their
own speed, AI algorithms examine student performance,
learning preferences, and styles. This improves understanding
and encourages a more meaningful and profound relationship
with the material.
AI’s personalized learning strategy entails creating
instructional materials that are specific to each student’s needs,
interests, and learning style. In order to maximize
comprehension, machine learning algorithms examine data
from students’ interactions with the course materials, finding
trends and making necessary content adaptations. This
encourages a more student-centered methodology that
accommodates a range of learning capacities and styles.
AI-powered chat bots and virtual tutors also provide
students with instant feedback and assistance, fostering a
supportive learning environment outside of the classroom.
This personalized approach promotes engagement and helps
to keep students on track.
Adaptive Learning Systems: Navigating the Learning
Journey
Adaptive learning platforms driven by AI offer a glimmer
of hope to students conquering a range of challenges. These
systems adjust the degree of tasks and courses dynamically,
giving each learner a personalized road map. AI ensures that
the learning path matches the learner’s objectives and skills,
regardless of whether they are ready to tackle more
challenging concepts or need more help in a certain area. This
flexibility builds confidence and gives youngsters a sense of
accomplishment as they solve challenges at their own speed.

141
Intelligent teaching systems use AI to provide personalised
guidance, feedback, and encouragement to pupils. These tools
detect a student’s areas of strength and weakness and adjust
support in real time based on machine learning and natural
language processing. It facilitates learning and helps with the
development of problem-solving skills through interactive
sessions.
Intelligent Tutoring Systems: The Virtual Guide
Picture yourself with a personal tutor at your disposal all
the time, willing to offer advice, criticism, and assistance as
required. This vision is realized through intelligent tutoring
systems driven by AI. These online tutors provide
personalized feedback and in-the-moment support by utilizing
advanced algorithms to identify a learner’s areas of strength
and weakness. In addition to improving learning, this allows
students to feel more independent because they can get help
when and when they need it.
Beyond personalizing, adaptive learning systems
dynamically modify the level of tasks according to a student’s
success. To guarantee the right amount of challenge, these
systems evaluate a student’s performance and adjust the
learning path over time. This flexibility increases student
engagement, lowers frustration, and fosters a sense of
accomplishment as they master progressively difficult ideas.
The Rise of Virtual Classrooms
Artificial Intelligence is improving the virtual classroom
experience in an era where virtual interactions are the norm.
AI is a quiet but effective collaborator in the field of online
education, monitoring student involvement and facilitating
dynamic discussions. Artificial intelligence-enhanced virtual
classrooms provide a global platform for students to connect,
learn, and exchange ideas while fostering a collaborative and
engaging atmosphere that transcends geographical boundaries.

With the introduction of functions like facial recognition,
sentiment analysis, and engagement tracking, artificial
intelligence is revolutionizing virtual classrooms. These tools
give teachers real-time access to data on student responses,
engagement, and general comprehension. Artificial
intelligence-enhanced virtual classrooms replicate the
advantages of face-to-face instruction by offering a more
dynamic and responsive environment.
Proactive Intervention to Predictive Analytics
Predictive analytics has become a popular tool in education
thanks to AI’s capacity to evaluate enormous volumes of
student data. Artificial Intelligence can anticipate the obstacles
that a learner may encounter by recognizing patterns and
trends. With the use of resources and targeted support,
educators may intervene early thanks to this proactive strategy.
The end effect is an educational system that is more
accommodating and supportive of each student’s individual
learning path.
In order to find trends in previous and current data that
can point to potential future difficulties for pupils, predictive
analytics in education uses artificial intelligence. Teachers
might step in early to offer more assistance, resources, or
different teaching methods. By being proactive, we hope to
keep kids on a good academic path and avoid learning gaps.
Educational Gaming: Where Learning Meets Play
AI-driven educational games are adding pleasure and
interaction to the learning process. These games enable
students to apply knowledge in a gamified context, going
beyond simple memorization. Students strengthen their critical
thinking and decision-making abilities in addition to improving
their conceptual understanding through challenges,
simulations, and problem-solving scenarios. AI-powered
educational gaming is a monument to the successful fusion of
learning and fun.

143
AI-powered learning games provide a gamified approach
to teaching, increasing student engagement and enjoyment.
Adaptive algorithms are frequently used in these games to
modify difficulty levels in response to player performance.
AI-driven gaming promotes active engagement and skill
development in areas like critical thinking, problem-solving,
and teamwork by fusing entertainment with educational goals.
Streamlining Administration: More Time for Teaching
In addition to revolutionizing education, AI is also making
administrative work for teachers easier. AI is saving teachers
a lot of time with its intelligent scheduling tools and automatic
grading systems. Teachers can refocus their attention on
mentoring, educating, and developing deep connections with
their pupils by automating repetitive duties.
The automation of administrative work for educators is
greatly aided by AI. In the fields of data administration, class
schedule optimization, and grading automation, artificial
intelligence contributes efficiency and time savings. This
facilitates improved teacher-student relationships and
instructional planning by allowing educators to concentrate
on more strategic facets of education.
Breaking Language Barriers with AI Translation
Services
Education should never be hampered by a person’s
language. Linguistic barriers are disappearing thanks to AI-
powered translation services, which make it easy for students
from different linguistic backgrounds to access instructional
materials. In addition to encouraging international
cooperation, this openness readies students for a world in
which efficient communication transcends national boundaries.
Diversity in language can present serious difficulties for
international education. Language barriers are removed via
AI-driven translation services, which improve understanding
and communication between speakers of different languages.

By encouraging a more varied and linked learning
environment, inclusion helps students get ready for a world
that is becoming more interconnected.
Let’s unlock this potential and embrace AI
Our children, students, and future leaders are growing
up with technology, yet we are preventing them from using
it. For what reason? Artificial intelligence (AI) tools like
ChatGPT, Bard, and Claude are being used in classrooms, a
topic of increasing discussion. Why are we not allowing our
kids to benefit from the greatest technology advances in human
history? is still the question.
Technology is an expression of humankind’s will to
advance, prosper, and work hard.
As a species, humans have an unquenchable thirst for
technology and the use of it.
We are unable to truly stop ourselves.
Rather than being fearful of the unknown, it’s time to
embrace AI and recognise how powerful technology can be
to change education. Here are a few ways that AI can help
parents, kids, teachers, and society as a whole.
We are unable to truly stop ourselves.
1. Learners: Making use of AI to expedite learning AI
technologies have the potential to greatly accelerate
learning and improve pupils’ ability to absorb
information. It is imperative that students acquire the
necessary skills to use these resources ethically—that
is, to better their work and abilities rather than to
cheat.
2. Parents: Promoting the use of AI When it comes to AI
technology; parents should speak out for their kids.
Parents may teach their children how to utilize AI tools
safely and productively by working with them and

145
exploring these tools together. Encourage kids to
advocate for themselves and support the use of AI in
the classroom.
3. Teachers: Using AI to create curricula and support
instruction AI provides a substantial increase in
productivity and efficiency for educators. With the use
of AI tools, educators can create curricula more quickly
and investigate subjects more thoroughly. Instructors
ought to think about utilizing these resources for
themselves as well as incorporating them into their
lesson plans to provide students a more engaging
educational experience.
4. Society: Educating the next generation to address
global issues The kids we are raising now will
determine our future, thus it is important that they
have access to the newest technology so they can meet
any obstacles that may arise. We can prepare our kids
for the challenges of the future by teaching them how
to use AI technologies and use them in a variety of
sectors.
While there are ethical concerns associated with the use
of AI tools, we should not overlook their potential benefits
and instead concentrate on how these technologies might
improve our lives. In order to maximize the positive effects
of new technologies, society as a whole must learn how to
utilize them properly.
Artificial Intelligence can be compared to a new kind of
fire, a potent instrument that, depending on its application,
can do harm or good. The potential of AI for learning,
creativity, and innovation may be realized by accepting it and
implementing it into our educational system. Since our kids
will be the ones carrying on the tradition into the future, we
can’t deny them the chance to study and develop with these
resources.

Investigate tools such as Mr. Reindeer, a customized
ChatGPT prompt that transforms AI into a tutor for students
or an assistant for teachers, to begin your journey towards
learning with AI. Education can be revolutionized and our
children’s futures brightened by understanding how to use
AI tools safely and productively.
When artificial intelligence and education are united, they
have the potential to become an unstoppable force for
advancement and change. For the sake of everybody, let’s
welcome AI in our homes, schools, and communities and
realize its full potential.
Conclusion
AI in education is changing the face of education and
providing a window into a personalized, interactive, and
universally accessible learning environment. AI’s contribution
to education will probably only grow as it develops further,
ushering in a day where knowledge acquisition is as varied
and dynamic as the students it supports. With AI at its center,
the future of education is both thrilling and promising, yet
the trip has only just begun.
When taken as a whole, these apps help to completely
change the education industry by increasing the flexibility,
accessibility, and engagement of learning for a wider variety
of students. The potential for more innovation in education
is still enormous as AI technologies develop, heralding in a
period of ongoing progress and improved educational results.
REFERENCES
Srinivasa, K. G., Kurni, M., & Saritha, K. (2022). Harnessing the
Power of AI to Education. In Learning, Teaching, and Assessment
Methods for Contemporary Learners: Pedagogy for the Digital
Generation (pp. 311-342). Singapore: Springer Nature Singapore.
Tan, S. (2023). Harnessing Artificial Intelligence for innovation in
education. In Learning intelligence: Innovative and digital
transformative learning strategies: Cultural and social engineering
perspectives (pp. 335-363). Singapore: Springer Nature
Singapore.

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Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-
Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the
value of artificial intelligence in human resource management
through AI capability framework. Human Resource Management
Review, 33(1), 100899.
Dalabih, A., & Aljabari, S. (2023). Unlocking the power of AI to
accelerate scientific progress and global collaboration. Pediatric
Research, 1-2.
Singh, A. V., Ansari, M. H. D., Rosenkranz, D., Maharjan, R. S.,
Kriegel, F. L., Gandhi, K., ... & Luch, A. (2020). Artificial
intelligence and machine learning in computational
nanotoxicology: unlocking and empowering
nanomedicine. Advanced Healthcare Materials, 9(17), 1901862.
Alkhawaja, L. (2023). Artificial Intelligence in Education:
Harnessing Its Power as a Valuable Tool, Not an
Adversary. International Journal of Computer-Assisted Language
Learning and Teaching (IJCALLT), 13(1), 1-22.
Ghalayini, M., & Smith, N. Unlocking the Potential of AI in
Education: What Higher Education Needs to Know. In About
the Conference (p. 80).

16
Ethics, Ethos, Safety and Well-
being in Using AI in Education
Dr. M.Senthilkumaran and B. Revathi
Introduction
As the integration of artificial intelligence (AI) in education
continues to shape the landscape of learning, it brings forth
a host of considerations that go beyond technological
advancements. Beyond the mere adoption of AI tools, the
ethical dimensions, overall ethos, safety protocols, and
considerations for well-being stand as critical pillars in ensuring
the responsible and beneficial use of these technologies within
educational settings.
In the intersection of ethics, ethos, safety, and well-being
in using AI in education, the goal is to create a harmonious
integration that prioritizes the human aspect of learning.
Striving for an ethical and positive ethos ensures that AI
technologies are not only cutting-edge but also contribute to
a safe, inclusive, and well-rounded educational environment
for students and educators alike. As we navigate this evolving
landscape, continual reflection and adaptation of principles
will be vital to meet the dynamic challenges and opportunities
presented by AI in education.

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Ethics in using AI in Education:
The use of artificial intelligence (AI) in education brings
about various ethical considerations that need careful attention.
Here are some key ethical considerations in using AI in
education:
Equity and Access:
Challenge: AI systems may inadvertently exacerbate
existing educational inequalities. There might be disparities
in access to AI tools, resources, and quality education, leading
to a digital divide.
Ethical Principle: Ensure that AI in education is designed
and implemented to promote equity and access for all students,
regardless of their socio-economic background or geographic
location.
Privacy:
Challenge: AI often involves collecting and analyzing large
amounts of data, which can include sensitive information about
students.
Ethical Principle: Protect the privacy of students by
implementing robust data security measures, obtaining
informed consent, and anonymizing or de-identifying data
wherever possible.
Transparency and Accountability:
Challenge: AI algorithms can be complex and difficult to
understand, leading to a lack of transparency in decision-
making processes.
Ethical Principle: Ensure transparency in the design and
operation of AI systems. Educators, students, and parents
should be able to understand how AI is used in education,
and there should be mechanisms for accountability if things
go wrong.

Bias and Fairness:
Challenge: AI systems mayinherit biases present in training
data, potentially leading to unfair treatment of certain groups.
Ethical Principle: Regularly audit AI algorithms for biases
and take steps to mitigate them. Strive for fairness and
inclusivity in AI applications, especially in assessments and
decision-making processes.
Informed Decision-Making:
Challenge: Students, educators, and administrators may
not fully understand the capabilities and limitations of AI
systems.
Ethical Principle: Promote education and awareness about
AI among all stakeholders. Encourage informed decision-
making by providing clear information about how AI is used,
its benefits, and potential risks.
Human-Centric Approach:
Challenge: Overreliance on AI might diminish the role of
human teachers and interfere with the development of
interpersonal skills.
Ethical Principle: Emphasize a human-centric approach
where AI supports and enhances human teaching rather than
replacing it. Maintain the importance of human connections in
the learning process.
Accountability for Decision-Making:
Challenge: Automated decision-making can sometimes lack
accountability, making it challenging to address errors or
challenges.
Ethical Principle: Clearly define accountability structures
for AI in education. There should be mechanisms in place to
address and rectify mistakes or unintended consequences.

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Long-term Impact on Employment:
Challenge: The integration of AI in education might impact
traditional teaching roles and employment opportunities.
Ethical Principle: Consider the broader societal impact and
potential job displacement. Develop strategies for re skilling
and up skilling educators to adapt to the changing landscape.
Constant Evaluation and Improvement:
Challenge: Once implemented, AI systems may not be
regularly evaluated or updated, leading to outdated or
ineffective educational practices.
Ethical Principle: Commit to continuous evaluation and
improvement of AI systems. Regularly update algorithms,
incorporate feedback from users, and adapt to evolving
educational needs.
By adhering to these ethical principles, educators,
policymakers, and developers can work together to ensure
that AI in education is implemented in a manner that benefits
all students and upholds ethical standards. Regularly
reassessing and updating ethical guidelines is also crucial as
technology and educational contexts evolve.
Ethos in using AI in Education
In the context of using AI in education, “ethos” typically
refers to the underlying character, values, and guiding
principles that should inform the development,
implementation, and ongoing use of AI systems. Establishing
a positive and ethical ethos in the use of AI in education is
crucial for ensuring that these technologies contribute to the
betterment of education while upholding moral and social
values. Here are key elements of a positive ethos in using AI
in education:

Student-Centric Focus:
Ethos: Prioritize the well-being, learning outcomes, and
personalized needs of students.
Implementation: Develop AI applications that enhance the
educational experience, cater to individual learning styles, and
foster student engagement and success.
Equity and Inclusion:
Ethos: Strive for fairness and inclusivity, ensuring that AI
technologies do not exacerbate existing educational disparities.
Implementation: Design AI systems that address diverse
learning needs, minimize bias, and provide equal opportunities
for all students, regardless of background or abilities.
Transparency and Openness:
Ethos: Promote transparency in how AI systems are
designed, operate, and impact educational processes.
Implementation: Provide clear information to all
stakeholders—students, educators, parents, and
administrators—about the use of AI in education, including
its purposes, data handling practices, and potential
implications.
Collaboration and Co-Creation:
Ethos: Encourage collaborative efforts among educators,
technologists, policymakers, and other stakeholders to co-
create solutions that benefit the entire educational ecosystem.
Implementation: Foster partnerships that involve educators
in the design and implementation of AI tools, ensuring that
these technologies align with real-world educational needs
and challenges.
Ethical Use of Data:
Ethos: Uphold high standards for data privacy, security,
and ethical use in educational settings.

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Implementation: Implement robust data protection
measures, obtain informed consent for data usage, and adhere
to legal and ethical standards regarding the collection, storage,
and sharing of student data.
Continuous Improvement and Learning:
Ethos: Embrace a culture of continuous improvement,
adaptability, and ongoing learning in the integration of AI in
education.
Implementation: Regularly assess the effectiveness of AI
applications, seek feedback from users, and be willing to
update and refine systems to meet evolving educational needs
and ethical standards.
Empowerment of Educators:
Ethos: Empower educators with the knowledge and skills
to use AI tools effectively and ethically.
Implementation: Provide professional development
opportunities, training, and resources for educators to
understand, integrate, and critically evaluate AI technologies
in the educational context.
Human-AI Collaboration:
Ethos: Emphasize the collaboration between AI systems
and human educators, recognizing the unique strengths of
both.
Implementation: Design AI tools to augment human
capabilities rather than replace them, fostering a symbiotic
relationship that leverages the strengths of both human and
artificial intelligence.
Community Engagement:
Ethos: Engage with the broader community, including
parents, local communities, and policymakers, to build
understanding and trust around the use of AI in education.

Implementation: Foster open communication channels,
involve stakeholders in decision-making processes, and
address concerns and questions from the community.
By cultivating a positive ethos in the use of AI in education,
stakeholders can work together to ensure that these
technologies contribute to the advancement of education in a
manner that is ethical, inclusive, and aligned with the best
interests of students and society as a whole.
Safety in using AI in Education
Ensuring safety in the use of AI in education involves
addressing various aspects, including data security, student
privacy, algorithmic fairness, and the overall well-being of
students and educators. Here are key considerations for
promoting safety in the integration of AI in educational
settings:
Data Security:
Measures: Implement robust data security measures to
protect sensitive student information from unauthorized
access, data breaches, and cyber threats.
Best Practices: Encrypt data, use secure authentication
methods, regularly update security protocols, and adhere to
relevant data protection laws and regulations.
Privacy Protection:
Measures: Prioritize the privacy of students by obtaining
informed consent for data collection and processing.
Best Practices: Clearly communicate how AI systems use
student data, anonymize or de-identify data wherever
possible, and establish policies for data retention and disposal.
Algorithmic Fairness:
Measures: Regularly audit and assess AI algorithms for
biases to ensure fair treatment of all students.

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Best Practices: Implement strategies to mitigate biases in
training data, conduct regular fairness evaluations, and
provide transparency in algorithmic decision-making.
User Authentication and Authorization:
Measures: Implement secure user authentication and
authorization mechanisms to prevent unauthorized access to
AI systems and student data.
Best Practices: Use multi-factor authentication, role-based
access controls, and regularly audit user access to maintain a
secure environment.
Cyber security Education:
Measures: Educate students and educators about Cyber
security best practices to reduce the risk of phishing attacks,
malware, and other cyber threats.
Best Practices: Provide training on recognizing and
reporting security incidents, using strong passwords, and
staying vigilant against potential threats.
User Empowerment:
Measures: Empower users (educators, students, and
administrators) with knowledge and control over AI tools.
Best Practices: Provide training on how to use and
customize AI tools, offer user-friendly interfaces, and ensure
that users understand the purpose and limitations of AI
applications.
Ethical Use of Predictive Analytics:
Measures: Exercise caution when using predictive analytics
to avoid stigmatizing or unfairly labeling students.
Best Practices: Clearly communicate the purpose of
predictive analytics, involve educators in decision-making
processes, and provide additional support and resources to
students identified through predictive models.

Real-time Monitoring and Intervention:
Measures: Implement real-time monitoring systems to
identify and address potential issues promptly.
Best Practices: Use AI tools to monitor for signs of distress,
academic struggles, or potential security threats, and establish
intervention protocols to support students and maintain a safe
learning environment.
Regular Audits and Assessments:
Measures: Conduct regular audits and assessments of AI
systems to identify and rectify potential safety risks.
Best Practices: Establish a schedule for routine evaluations,
involve external experts in security assessments, and promptly
address any identified vulnerabilities.
Compliance with Regulations:
Measures: Ensure compliance with relevant data
protection and privacy regulations.
Best Practices: Stay informed about local, national, and
international regulations, and regularly update policies and
practices to align with changing legal requirements.
By prioritizing safety considerations and adopting these
measures and best practices, educational institutions can create
a secure environment for the integration of AI in education,
fostering a positive and effective learning experience for
students and educators alike. Regularly reviewing and
updating safety protocols in response to evolving threats and
technology developments is also crucial.
Well-being in using AI in Education
Promoting well-being in the use of AI in education is
essential to ensure that technology enhances the educational
experience and contributes positively to the mental, emotional,
and physical health of students, educators, and the broader
educational community. Here are key considerations for

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fostering well-being in the integration of AI in educational
settings:
User-Centered Design:
Principle: Prioritize the needs and experiences of users
(students, educators, administrators) in the design and
implementation of AI systems.
Implementation: Involve end-users in the development
process, gather feedback, and design AI tools that enhance
the overall well-being of those interacting with them.
Emotional Intelligence and Support:
Principle: Develop AI systems with a focus on emotional
intelligence, understanding and responding appropriately to
the emotions of students and educators.
Implementation: Integrate features that support emotional
well-being, such as sentiment analysis, feedback mechanisms,
and access to resources for emotional support when needed.
Personalized Learning and Growth:
Principle: Use AI to facilitate personalized learning
experiences that cater to individual strengths, preferences, and
areas for growth.
Implementation: Leverage adaptive learning technologies
to provide customized educational content, adapt pacing to
individual needs, and foster a sense of accomplishment and
mastery.
Balanced Screen Time:
Principle: Promote a balanced approach to screen time to
prevent digital fatigue and support overall well-being.
Implementation: Design AI applications with
considerations for appropriate usage durations, provide
breaks, and encourage a healthy balance between online and
offline activities.

Mindfulness and Stress Reduction:
Principle: Integrate features that promote mindfulness and
stress reduction to support mental health.
Implementation: Include tools for relaxation exercises,
mindfulness activities, and stress management strategies
within AI platforms.
Digital Citizenship and Well-Being Education:
Principle: Educate students about responsible and healthy
technology use to develop good digital citizenship habits.
Implementation: Integrate well-being education into the
curriculum, teaching students about the importance of balance,
digital etiquette, and maintaining a healthy relationship with
technology.
Accessibility and Inclusivity:
Principle: Ensure that AI tools are accessible to all students,
regardless of their abilities or disabilities.
Implementation: Design AI applications with accessibility
features, such as text-to-speech, speech-to-text, and other
assistive technologies, to support diverse learning needs.
Teacher Professional Development:
Principle: Provide ongoing professional development
opportunities for educators to effectively use AI tools and
support student well-being.
Implementation: Offer training sessions on the ethical
and well-being implications of AI in education, and
provide resources for educators to address well-being
concerns in the classroom.
Data-Informed Interventions:
Principle: Use AI to identify early signs of academic or
well-being issues and intervene in a timely and supportive
manner.

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Implementation: Implement data-informed interventions
based on AI-generated insights, ensuring that educators and
support staff have the tools and resources to address student
needs effectively.
Ethical AI Use:
Principle: Uphold ethical considerations in the
development and deployment of AI systems, ensuring they
align with principles of well-being and respect for human
values.
Implementation: Regularly assess AI algorithms for biases,
privacy considerations, and potential well-being impacts.
Ensure that AI applications prioritize the welfare of
individuals.
By incorporating these principles into the design,
implementation, and ongoing use of AI in education,
stakeholders can contribute to the well-being of students and
educators, creating a positive and supportive learning
environment. Regularly assessing the impact of AI on well-
being and making adjustments as needed is also essential in
this dynamic and evolving field.
Conclusion
In conclusion, the integration of artificial intelligence (AI)
in education brings about transformative opportunities
alongside profound responsibilities. Ethics, ethos, safety, and
well-being emerge as fundamental pillars shaping the success
and impact of AI technologies in educational settings. As we
navigate the evolving landscape of AI in education, the
continued commitment to these principles will be crucial.
Regular assessments, adaptability to emerging challenges, and
a collaborative approach among educators, policymakers, and
technologists will shape the future of AI in education. By
upholding ethical standards, nurturing a positive ethos,
ensuring safety, and prioritizing well-being, the integration
of AI can be a transformative force that empowers learners

and educators alike, preparing them for the challenges and
opportunities of an increasingly digital world.
References
Costa, S. (2023). Artificial intelligence in education: Challenges and
Opportunities in Learning. Santos Costa.
Education, I. C. O. T. F. O. (2021). Reimagining our futures together: A
new social contract for education. UNESCO Publishing.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in
education: Promises and Implications for Teaching and Learning.
Medicine, N. a. O. S. E. A., Division, H. a. M., Affairs, P. a. G., Policy,
B. O. H. S., Workforce, B. O. H. E. A., & Education, C. O. M. H.
S. U. a. W. I. S. U. a. G. (2021). Mental health, substance use, and
wellbeing in higher education: Supporting the Whole Student.
National Academies Press.
Unesco. (2020). Humanistic futures of learning: perspectives from
UNESCO Chairs and UNITWIN Networks. UNESCO Publishing.

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17
Application of Artificial
Intelligence (AI) in Education
Ms. Swapnil, Mr. Atishay Jain and
Ms. Shubhika Gaur
Introduction
The integration of Artificial Intelligence (AI) in education
is a transformative movement that provides innovative
methods to enhance the standard of teaching and learning.
Artificial Intelligence (AI) technologies, such as intelligent
tutoring programs, automated grading, and personalized
learning algorithms, adapt to the individual needs of students,
resulting in a more adaptable and efficient learning
environment. AI-driven learning analytics provide teachers
with valuable data on their students’ performance, enabling
prompt interventions and informed decision-making. AI-
driven virtual and augmented reality programs immerse
students in dynamic and interactive learning environments,
fostering a more profound understanding of complex subjects.
Artificial intelligence (AI) technology for language translation
and support effectively removes obstacles caused by language
differences. Additionally, chatbots offer immediate assistance,
ensuring a continuous and readily accessible support system.
Structure. The predictive analytics capabilities of AI assist in
identifying students who are at a higher risk of academic failure

and enable proactive measures to ensure their success. Artificial
intelligence enables instructors to allocate more time to
meaningful interactions with children by automating
administrative tasks. Although the integration of AI into
education holds significant promise, effectively harnessing its
benefits and overcoming challenges necessitates meticulous
consideration, robust privacy safeguards, and ongoing
collaboration.
Artificial intelligence (AI) has the capacity to significantly
impact several aspects of education, such as administrative
tasks, customized learning experiences, and innovative
adaptations to teaching methods.
Why Do We Need Artificial Intelligence in Education?
The incorporation of Artificial Intelligence (AI) into the
realm of education has gained significant significance owing
to its myriad benefits and capacity to revolutionize the process
of acquiring knowledge. The following are major factors that
emphasize the importance of AI in education:
 Personalized Learning: Artificial intelligence empowers
educators to deliver personalized learning experiences
to pupils, tailored to their individual requirements and
interests. Intelligent tutoring systems possess the
capability to adapt the pace, subject matter, and
complexity of education in order to cater to the
individualized learning requirements of each student
and facilitate their maximum growth.
 Enhanced Student Engagement: AI-powered
instructional technologies, such as gamification and
interactive simulations, enhance engagement and make
the learning process more dynamic. Artificial
intelligence (AI) incorporates components that enhance
the appeal and pleasure of learning, hence stimulating
active student engagement in the classroom.

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 Intelligent Assessment and Feedback: Artificial
intelligence (AI) facilitates the automation of
assessment procedures by evaluating large data sets
and providing students with prompt feedback. With
the help of adaptive assessments, teachers may more
effectively identify students’ areas of strength and
weakness and provide targeted interventions and
customized support to meet each student’s individual
needs.
 Streamlined Administrative Tasks: AI streamlines
scheduling, automates assignment grading, and
optimizes resource management, among other
administrative chores in the classroom. Through the
automation of time-consuming administrative tasks,
teachers may allocate more essential time to educate
and offer personalized assistance to each student.
 Data-Driven Decision Making: AI systems provide
the capability to evaluate vast quantities of data and
produce valuable insights that can be utilized by
instructors and administrators. These insights facilitate
the identification of patterns, trends, and areas of
learning deficiency, allowing for evidence-based
decision-making with the goal of enhancing
educational outcomes.
How is Artificial Intelligence Used in Education?
The advent of Artificial Intelligence (AI) has revolutionized
the methods of instruction and acquisition of knowledge,
rendering it an invaluable asset in the realm of education. AI
systems analyze student data to offer individualized learning
pathways, making personalized learning a significant
application of AI.
These programs dynamically adjust the pace, topic, and
level of difficulty of training to cater to the unique
requirements of each learner and optimize their learning
potential. Moreover, AI simplifies the process of evaluating

work by automating the grading system and offering students
immediate feedback. Machine learning algorithms assess
student work, saving teachers precious time and offering
prompt feedback on their development.
Adaptive learning platforms employ AI algorithms to
monitor students’ progress and adjust the course materials
accordingly. These platforms assist students in certain courses
by evaluating their strengths and weaknesses and offering
targeted practice exercises and resources. Moreover, AI’s
natural language processing skills enable the development of
applications such as automated essay grading and language
learning platforms that offer pronunciation feedback. These
resources enhance students’ language acquisition experiences
while optimizing the assessment process.
Artificial intelligence is crucial for creating instructive
content. It has the capability to generate interactive simulations,
courses, and quizzes that are specifically designed to target
certain learning objectives. The diverse range of content
available provides students with additional resources and
other approaches to delve into challenging concepts, resulting
in a more profound understanding and involvement.
Significant applications of AI in education:
 Tailored Education: In order to offer personalized
learning experiences, AI systems analyze performance
data, student preferences, and learning styles. Due to
the flexibility offered, students have the opportunity
to learn at their own pace, receive personalized
instruction, and focus on specific areas where they
require additional assistance.
 Sensible Tutoring Programs: Artificial intelligence-
powered tutoring systems provide individualized
assistance to children. These tools have the capability
to assess a student’s strengths and weaknesses, offer
targeted feedback, and adjust the course material to

165
align with the student’s level of understanding and
pace.
 Automated Evaluation and Scoring: Artificial
Intelligence possesses the capacity to autonomously
evaluate assignments and tests, thereby reducing the
workload of professors and providing students with
immediate feedback. This allows teachers to focus on
more complex and qualitative aspects of teaching.
 Acquiring Knowledge in Analytics: Artificial
intelligence analyzes extensive quantities of data to
provide insights into the behavior, involvement, and
achievement of pupils. Learning analytics can assist
educators in identifying and addressing areas of
weakness in a child’s learning, enabling them to
intervene and make informed decisions based on data.
 VR/AR stands for virtual and augmented reality: AI
enhances VR and AR educational applications to create
immersive learning environments. Through engaging
with physical objects in a three-dimensional
environment, students can enhance their
understanding and provide more tangible form to
abstract concepts.
 Support and Translation into Other Languages:
Artificial intelligence (AI) aids language learning by
providing instantaneous translation services, practice
exercises, and feedback on pronunciation. This
improves pupils’ language acquisition skills and assists
them in overcoming linguistic obstacles.
 Curation and Content Creation: Artificial intelligence
systems generate assessments, quizzes, and
educational resources. This can assist instructors in
developing materials and ensuring that the knowledge
is up-to-date and pertinent.
 Analytics Predictive for Student Achievement: AI
utilizes multiple data, such as participation, attendance,

and assessment outcomes, to predict which students
are most prone to encountering academic challenges.
Early detection enables prompt intervention and
support.
 Chatbots for Helping Students: AI-powered chatbots
provide prompt support to students by addressing
inquiries regarding assignments, schedules, and other
academic matters. Our round-the-clock help system
ensures that students will consistently have access to
information.
 Adaptive Educational Resources: AI-driven adaptive
learning systems adjust the content and level of
complexity based on the individual progress of each
student. This ensures that students will receive tailored
challenges and support throughout their academic
endeavors.
 Automated Tasks for Administration: Artificial
intelligence streamlines administrative tasks such as
scheduling, enrollment, and resource allocation,
allowing administrators and educators to focus on
strategic planning and education.
Challenges of Application of Artificial Intelligence in
Education
 Security and Privacy of Data: Significant amounts of
sensitive student data are gathered and scrutinized
during the utilization of AI in education. Ensuring the
security and privacy of sensitive data is crucial. The
occurrence of data breaches necessitates the
implementation of measures to protect the private
information of students.
 Fairness and Bias: Pre-existing biases in the data used
to train AI systems can inadvertently be strengthened
or magnified. The educational system is particularly
concerned about this issue since biased algorithms have

167
the potential to generate discriminatory outcomes that
restrict students’ choices and opportunities.
 Absence of Individualization: While artificial
intelligence (AI) has the capacity to customize learning
experiences, it can be challenging to provide
instructional content that is genuinely suited to the
unique learning style of each learner. One-size-fits-all
AI solutions may not adequately address the diverse
demands of students.
 Acceptance and Training of Teachers: While artificial
intelligence (AI) has the capacity to customize learning
experiences, it can be challenging to provide
instructional content that is genuinely suited to the
unique learning style of each learner. One-size-fits-all
AI solutions may not adequately address the diverse
demands of students.
 The Price and Availability: The adoption of AI in
education can incur significant expenses, hence limiting
its utilization, especially in financially constrained
regions or schools. An important challenge is in
guaranteeing equitable access to educational
technologies powered by artificial intelligence.
 Moral Aspects to Take into Account: Education-
related ethical concerns associated with AI encompass
the potential for surveillance and the utilization of
student data for objectives beyond improving
instruction. The conclusions made by artificial
intelligence (AI), especially in the context of grading
or assessments, can be both obscure and morally
questionable.
 Collaboration Between Humans and AI: Finding the
optimal equilibrium between artificial intelligence and
human educators can provide a challenge. Excessive
dependence on AI may undermine the significance of
mentoring, interpersonal contact, and the emotional
aspects of education.

 Continuous Development of Technology: The field
of artificial intelligence is advancing rapidly, posing
challenges for educational institutions to keep abreast
of the latest advancements. Implementing AI
applications on outdated systems might provide
challenges in terms of maintenance and updates, which
can occur rapidly.
 Social and Cultural Acceptance: The societal and
cultural adoption of artificial intelligence (AI) in
education might vary. Certain factions may oppose
the notion of machines playing a significant role in
education due to their concern that it will result in the
loss of human interaction.
Future of AI in Education
The future of AI in education holds great potential to
revolutionize the way we teach and learn. Here are
some key aspects that depict the future of AI in
education:
 Chatbots and Virtual Assistants: Artificial
intelligence-powered chatbots and virtual assistants
are anticipated to be widely utilized in educational
environments. The individuals will actively respond
to inquiries from students, offer guidance, assist with
tutoring, and serve as personal study companions.
These assistants will be accessible to students around
the clock, thereby enhancing their accessibility and
responsiveness to their needs.
 Artificial Intelligence (AI): Artificial intelligence will
enhance intelligent tutoring systems to a greater extent.
These systems will utilize sophisticated algorithms to
track students’ progress, detect their strengths and
weaknesses, and offer individualized feedback and
recommendations. Intelligent tutors possess the
capacity to imitate human interactions, enabling them

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to provide a customized and engaging learning
environment.
 Gamification and Immersive Learning: The
integration of Artificial Intelligence is anticipated to
have a substantial impact on the development of
educational experiences that incorporate gamification
and immersive learning environments. Through the
utilization of AI in conjunction with virtual reality (VR)
and augmented reality (AR) technologies, students will
have the opportunity to actively participate in
interactive simulations, encounter realistic scenarios,
and acquire practical skills inside a secure and regulated
environment.
 Data Analytics and Learning Analytics: Artificial
Intelligence will lead to substantial progress in both
subjects, equipping teachers with powerful tools to
examine vast quantities of data. These resources will
provide teachers with valuable data on student
performance, allowing them to identify specific areas
requiring improvement and design lesson plans based
on accurate information.
 Intelligent Content Creation: Artificial Intelligence
will have a significant impact on the development of
technologies for generating intelligent content. These
technologies will assist educators in generating
captivating and efficient lesson plans by automating
the creation of instructional materials and generating
interactive and flexible learning tools. Through the
utilization of artificial intelligence (AI), the process of
content generation will be enhanced, resulting in
increased efficiency. This will enable educators to
allocate their time and energy towards more
challenging jobs.
 Ethics and Human Oversight: As the use of artificial
intelligence (AI) in education progresses, the

significance of ethical concerns and the need for human
supervision will grow. To ensure the preservation of
human qualities such as empathy, creativity, and critical
thinking, it is necessary to achieve a harmonious
equilibrium between AI automation and human
interaction. It will be crucial to prioritize the protection
of data privacy, the mitigation of bias, and the
establishment of openness in AI systems.
Conclusion:
The utilization of artificial intelligence (AI) in education
has the potential to completely transform the learning process
for both students and teachers. Artificial intelligence has the
ability to customize learning paths, deliver tailored training,
and streamline administrative duties, so allowing instructors
to allocate more time towards personalized assistance and
cultivating enhanced student involvement.
AI can utilize tailored learning platforms to evaluate
student data and discern their strengths, limitations, and
preferred learning modes. This enables the development of
personalized learning trajectories that accommodate the
individual requirements and speed of each learner,
guaranteeing optimal understanding and retention of
knowledge.
To summarize, the utilization of artificial intelligence (AI)
in the field of education holds the capacity to individualize
learning experiences, increase accessibility, and enhance
educational achievements for every student. Although ethical
considerations necessitate rigorous scrutiny, the apparent
potential benefits of AI in enhancing the learning experience
cannot be ignored. Through the responsible adoption of AI,
we have the potential to establish a more captivating,
streamlined, and fair educational system for future
generations.

171
References:
Starcic, A. I. (2019). Human learning and learning analytics in the
age of artificial intelligence. British Journal of Educational
Technology, 50(6), 2974–2976.
UNESCO. (2019). Artificial Intelligence in education: Challenges
and opportunities for sustainable development. France: The
United Nations Educational, Scientific and Cultural
Organization (UNESCO). https://en.unesco.org/news/
challenges-andopportunities-artificial-intelligence-education
https://www.shiksha.com/online-courses/articles/applications-
of-ai-and-machine-learning-in-education/
https://www.clearias.com/ai-in-education/
https://intellipaat.com/blog/artificial-intelligence-in-education/
https://www.carahsoft.com/community/carahsoft-5-
applications-of-ai-tech-in-education-blog-2023

18
Changing Paradigms and
Approaches in Artificial
Dr. N. Sridhar and Dr. Malliga
Introduction
Artificial Intelligence (AI) is a new and developing
technology that has the power to completely change how
people interact with one another. Nowadays, artificial
intelligence (AI) is a vital component of human life and, more
significantly, permeates every area of modern existence.
Artificial Intelligence (AI) has become a reality and its necessity
has been demonstrated by the twenty-first century. AI has
advanced to the point that it may be applied to a wide range
of fields, including education, business, the media, and
defense-related technical services. The interaction and
application of AI in the classroom will improve teaching and
learning by assisting teachers and students in the process via
robotic technology and sensors. AI is primarily accessed and
delivered via computers, laptops, tablets, iPads, multimedia
mobiles, and other technological devices. There is no single
instrument that is specifically designed to use AI in the
education sector because manufacturers are unlikely to view
education as their sole target market. The field of robotics
has been growing rapidly as a result of advancements in AI.

173
Robotics research is being conducted to determine how socially
assistive robots can assist in day-to-day activities such as
guiding shoppers in malls, railway stations, airports,
education, and other aspects of human life (Timms, 2016).
Cobots are robots that collaborate with humans to assist
them in carrying out their tasks and duties. Cobots are robots
designed to assist human teachers in the field of education,
and pupils will receive more tailored instruction. Robots need
higher cognitive abilities and proprioceptive senses supported
by auditory, visual, and touch sensors to perform everyday
tasks with humans. Robots with these high cognitive abilities
must physically perform in classrooms that can detect
surrounding positions and use classroom tools such as
whiteboards, smartboards, and papers, among other things
(Brooks, 2002). The National Strategy on Artificial Intelligence
(NSAI), published by NITI Ayog in 2018, discusses the
potential of AI to solve social problems in agriculture, health,
and education. With the rapid advancement of AI technology,
the debate over AI ethics and governance is constantly
evolving. Several countries and organizations have developed
ethical AI principles, and it is necessary for India to develop
principles that can be implemented across the country (NITI
Ayog, 2021). Researchers in the field of artificial intelligence
(AI) discovered a positive impact on educational implications
such as Intelligent Computer-Assisted Instruction (ICAI)
systems to teach and Computer-Assisted Instruction (CAI) to
develop learning environment and major application as expert
systems to assist educational diagnosis and assessment (Jones,
1985).
Artificial Intelligence (AI): Its Importance and
Applications
“We’re headed for a world where you’re either going to
be able to write algorithms and speak that language or be
replaced by algorithms. “Bridgewater, a billionaire hedge fund
Dalio Ray.

John McCarthy coined the term Artificial Intelligence (AI)
in 1956, two years after the death of Alan Turing, known as
the father of AI. He was thinking about how a machine can
think and created the Turing machine, which demonstrates
intelligence similar to human beings such as learning, logical
reasoning, and problem-solving, among other things (Singh
and Jain, 2018). AI predicts new scenarios based on a large
amount of historical data, and this is an underutilized sector
(Panigrahi, 2020). The advancement of faster computer
processes, the availability of large amounts of big data, and
advances in computational approaches laid the groundwork
for AI’s renaissance, which is now an integral and inseparable
part of human life. Surprisingly, the more it is integrated into
daily life, the less people think of it as AI (Holmes Bialik &
Fadel, 2019).
Artificial intelligence, or AI, is commonly associated with
sophisticated computer programmes such as voice-activated
smart speakers like Amazon Eco, Google Assistant, and
AirPlay, and email spam filtering that automatically blocks
mobile numbers. Using neural networks to create autonomous
cars without human intervention is another area of AI
development (Holmes, Bialik, & Fadel, 2019). The definition
of artificial intelligence (AI) varies among experts in the field.
For example, Kaplan and Haenlein (2019) defined AI as “A
system’s ability to correctly interpret external data, to learn
from such data, and to use those learnings to achieve specific
goals and tasks through flexible adaptation.” Russell and
Norvig (2019) defined AI as “The study of agents that receive
precepts from the environment and execute.” We discuss
various ways to represent these functions, including
production systems, reactive agents, logical planners, neural
networks, and decision-theoretic systems. Each such agent is
implemented by a function that translates principles to actions
(Russell and Norvig, 2010).
Technology is increasinglydisruptingsociety and humanity
in a variety of ways, including education. With the rapid

175
changes that are occurring in the world, such as climate change,
population dynamics, biotechnology, and the expansion of
digital marketing, as well as the growth of machine learning
and artificial intelligence, a robust ecosystem is becoming
increasingly important. This is the fourth industrial revolution,
and disruptive technology such as artificial intelligence has
emerged, lowering costs and improving prediction tasks based
on existing data, which aids professionals in their work. With
the importance of disruptive technology in mind, the National
Policy of Education 2020 proposed studying ethical issues and
discussing disruptive technologies with appropriate instruction
and discussion materials for continuing education (NEP, 2021).
Artificial intelligence, like humans, operates in multiple
dimensions: “The exhilarating new efforts to make computers
think.” “In the full and literal sense, a machine with minds”
(Haugeland, 1985). “The art of creating machines that perform
functions that require intelligence when performed by people”
(Kurzwell, 1990). Thinking Rationally is defined as “the study
of mental faculties using computational models” (Chamlak &
McDermott, 1985). And, according to UNESCO, “Acting
Rationally; Computational Intelligence is the study of the
design of intelligent agents” (Poole et al., 1998).
Artificial Intelligence (AI) in Education
Artificial intelligence, like other technological innovations,
plays an important role in education by improving teaching
and learning, and big data serves as a fuel. Governments and
educational institutions are considering how to prepare
students to thrive in an artificial intelligence-infused future,
as well as the increasing presence of AI in all aspects of human
activity. Artificial intelligence research focuses on intelligence
components such as learning, problem solving, reasoning,
decision making, and language use, among others. UNESCO
(2019).

According to a study conducted by the research
organization Tracxn, approximately one-tenth (11%) of Indians
who use artificial intelligence (AI) based technology in their
organizations are involved in teaching and learning. Several
AI-based applications for teaching and learning are currently
available (Panigrahi, 2020). As unlimited information and
contents, as well as learning materials, are available on digital
platforms, technology has made limitless knowledge and
information easily accessible to every individual around the
world. Individuals can use AI-based technology to get to their
destination, access the necessary materials, and obtain accurate
data. AI assists teachers in their classrooms by providing
appropriate teaching aids and digital platforms, as well as
reducing workloads through automatic assessment, plagiarism
detection, and feedback, among other things (Holmes, Hui,
Miao, & Ronghuai, 2021). AI will never be able to replace
human teachers, but it can assist them in providing effective
classroom instruction, assignment assessment, grading tests,
and twenty-four-hour academic support to their students
because teachers cannot be available at all times.
It offers virtual mentorship and engages students in
academic activities by tracking attendance and progress and
connecting with students at all times (Sadiku, Ashaolu, Ajayi-
Majebi, & Musa, 2021).
Evaluation and Assessment
“What gets measured gets managed. “Lord Kelvin’s Many
human problems around the world are caused by a lack of
education and a poor education system. An assessment serves
as a foundation for and defines the education that people
receive (Holmes, Bialik, & Fadel, 2019). For a long time, the
process of assessment and evaluation, rather than the entire
examination system, has been a focal point of discussion for
ongoing reform. The education system has seen numerous
reforms since ancient times, even though the current and

177
prevailing examination system is stressful and unpleasant and,
with the changing time and nature of the education system,
requires reform. The current situation is different, and in order
to continue the reform process, people have several options
for developing a superior assessment and evaluation.
Artificial intelligence technology is already grading
objective questions like multiple-choice questions (MCQs) but
is working to successfully grade subjective questions like
paragraphs, essays, and statements. Grading through machines
frees up time for teachers to focus on teaching and learning,
as well as providing appropriate guidance to students. As
artificial intelligence technology advances, it can be used for
admission, assignment checking, and homework preparation
(Kengam, 2020).
Artificial Intelligence Legal Issues
The entire world is concerned about the human rights and
legal issues surrounding artificial intelligence (AI) that are
emerging on a daily basis. It includes a lack of algorithmic
lucidity and transparency, cyber security capabilities,
sloppiness, biases and discriminations, legitimate personhood
issues, a lack of possibility for challenge, intellectual property
rights issues, an unfavourable effect on workers, data
protection and fundamental privacy rights issues, the
possibility of harm to persons and vandalism to property, a
lack of accountability for caused destructions, and so on.
Conclusion
Artificial intelligence (AI) is gradually altering the
landscape of the global education system. It enabled continuous
universal access to the classroom for all individuals all over
the world. AI applications are widely used by students and
teachers today. AI promotes distance, open, online, and digital
education while also facilitating personalized learning and
providing universal access to all levels and types of quality
education. In the near future, with the assistance of AI, the

education system will facilitate a true life-long education
process for all individuals worldwide. Though AI cannot
replace human teachers, it can assist in teaching and learning
to a large extent. There is no way to avoid AI in any aspect
of social or personal life, and the educational system has
already embraced it. Schooling and ongoing education will
help to raise public awareness of potentially disruptive
technologies. This is necessary to raise public awareness about
this technology, and data is the most important fuel for
artificial intelligence. It is also critical to be aware of issues
such as privacy, laws, data handling, and data protection,
among others. Education will be critical in raising awareness
about these issues, particularly ethical concerns and the
advancement of artificial intelligence-based technology.
References
Brooks, R. A. (2002). Flesh and Machines. New York, NY: Pantheon
Books.
Cope, B., Kalantzis, M., & Searsmith, D. (2020). Artificial intelligence
for education: Knowledge and its assessment in AI-enabled
learning ecologies. Educational Philosophy and Theory, 1-17.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in
education. Boston: Center for Curriculum Redesign.
Holmes, W., Hui, Z., Miao, F., & Ronghuai, H. (2021). AI and education:
A guidance for policymakers. UNESCO Publishing.
Jones, M. (1985). Applications of artificial intelligence within
education. Computers & mathematics with applications, 11(5),
517-526.
Kengam, J. (2020). Artificial Intelligence in Education.
https://www.researchgate.net/publication/347448363
ARTIFICIAL INTELLIGENCE IN EDUCATION.
Luckin, R. (2017). Towards artificial intelligence-based assessment
systems. Nature Human Behaviour, 1(3), 1-3.
Panigrahi, C. M. A. (2020). Use of Artificial Intelligence in education.
Management Accountant, 55, 64-67.

179
Rodrigues, R. (2020). Legal and human rights issues of AI: gaps,
challenges and vulnerabilities. Journal of Responsible
Technology, 4, 100005.
Sadiku, M. N., Ashaolu, T. J., Ajayi-Majebi, A., & Musa, S. M. (2021).
Artificial Intelligence in Education. International Journal of
Scientific Advances, 2(1), 5-11.
Singh Nandini Chatterjee and Jain Raunak. (2018). Personalizing
‘Learning’ - Can AI Promise Customised Education for
‘Humanity’. It is cited by (UNESCO MGIEP, 2018).
Schittek Janda, M., Mattheos, N., C. Lyon, H & Attstrom, R. (2001).
Computer assisted learning. A Review. European journal of
dental education: official journal of the Association for Dental
Education in Europe.
Timms, M. J. (2016). Letting artificial intelligence in education out
of the box: educational cobots and smart classrooms.
International Journal of Artificial Intelligence in Education,
26(2), 701-712.

19
Application of Artificial
Atika Kumala Dewi
Introduction
Technology in the modern era is now intrinsic to the
passage of time. The ways in which we live, work, study, and
communicate have all been profoundly impacted by
technological advancements. Constantly improving the
efficiency and usefulness of our daily lives and the things we
do for a living are new forms of innovations (Law, Woo, Torre,
& Wong, 2018).
The field of education has also been impacted by the
development of artificial intelligence. People can study with
the support of educational helpers like bots made possible by
AI systems. Keeping up with the times necessitates that the
educational system respond to new technologies in order to
raise the bar for teaching and learning, particularly in the realm
of information and communication. Artificial intelligence allows
for the presentation of digital learning material that is now
under development. Study aids, material summaries, or brief
notes are some ways that students may now access formerly
inaccessible, dense textbook information. Using AI to support
the manufacturing revolution When it comes to technology-
mediated learning, 4.0 is crucial (Council of Europe, 2001).

181
Cognitive activities, such as teaching machines new skills
automatically from pre-programmed data and knowledge, are
at the heart of artificial intelligence (AI), which aims to mimic
human thought processes in computer systems. It is also
possible to understand artificial intelligence A subfield of
computer science, artificial intelligence (AI) enables computers
to mimic human intellect and performance in a variety of tasks
(OECD, 2016). Whether we’ve been aware of it or not, we’ve
used AI in our daily lives. Artificial intelligence has been
integrated into several applications for the benefit of these
applications.
When we talk about AI in this context, we’re referring to
systems that mimic human intelligence in terms of their ability
to reason, plan, and execute tasks. Huge efforts are being made
right now to perfect artificial intelligence (AI) to the point
where it can mimic human intellect and eventually execute
human tasks. The original goal of artificial intelligence (AI)
was to enable computer programs and robots to mimic human
behavior. Obviously to make human labor easier (OECD, 2009).
There are a number of digital platforms that have integrated
AI. One of the main purposes of AI is to facilitate human work.
A number of tech firms have integrated AI, such as Google,
Amazon, Facebook, and Microsoft.
Machines that are programmed to learn and comprehend
reasoning in the same way that people do are known as
artificial intelligence (AI). The complicated human condition
is supposedly amenable to this technological solution. AI relies
on a trifecta of data, repeated processing, and smart algorithms
to function. Because of this, the program may automatically
learn from data characteristics or trends.One may also argue
that artificial intelligence covers a lot of ground.
The educational sector is only one of several that is seeing
the growing influence of AI technology. Particularly in
STEM subjects, the introduction of AI has revolutionized
course offerings. However, AI will also radically alter the
global landscape of education.The field of AI has been making

headlines as of late. Education is only one area where this
technology plays a significant role in streamlining a variety of
work responsibilities.The field of education may also benefit
from the use of AI. Educators have a much easier and more
thorough time understanding their students’ needs. Also, the
children won’t have any trouble learning what they need.
Many people think that artificial intelligence can improve
human learning and make educational objectives more
attainable. Thus, it should come as no surprise that the learning
process is presently and will continue to be supported by
several AI-based advancements and discoveries.
Consequently, the presence of AI in the education sector causes
worries among instructors. However, this problem must be
met in order for education to persist. Teachers’ ability to work
together with AI to apply learning is one of the strong
convictions that AI cannot replace them. Educators must be
able to effectively use scientific and technological knowledge.
With the use of AI, educators may streamline administrative
tasks related to school management, such as creating lesson
plans, tracking student attendance, documenting learning
results, and creating educational media and materials.The
study’s focus is on AI, or artificial intelligence.
AI serves as a virtual mentor, a role that is becoming
prevalent in many online educational technology platforms.
AI may assess students’ work on practice questions and other
learning activities, and then suggest what they should study
again. Educators often use applications to provide course
materials such as lecture notes, homework, quizzes, and
exams. Applications may also be used for evaluation and testing
purposes. If students are confused about anything, this app
can figure out why and provide answers that the teacher has
already published and designed.
Acquiring information is just one aspect of education.
Learning new information and developing our social skills
are two sides of the same coin in the intricate process that is
education (Barbas-Rhoden et al., 2021). The creation of

183
essential human emotions like empathy and compassion is
beyond the capabilities of machines. This suggests that the
function of instructors and educators will remain unreplaceable
by AI, regardless of its sophistication or the number of
instances of its use. AI can only assist and enable educators
in creating an engaging learning environment for their
students. Whether in a classroom setting or via independent
study, information technology plays an important role in
facilitating learning. Artificial intelligence will play a larger
role in educational pursuits going forward. AI has the potential
to revolutionize the way learning materials are presented,
assessments are administered, and feedback is given. Many
different types of instructional technology have begun to
include AI.
Many digital libraries, including those at public, academic,
and educational institutions, are already making use of this
technology. People may customize it so that it reminds things
like course progress, upcoming materials, test accumulation,
overall scores, related course suggestions, and more. Schools
and institutions with international programs may benefit from
AI-based solutions by developing curriculum-based lessons
and providing students with personalized learning
experiences. Teachers and tutors may save time and effort by
making use of these capabilities when they create and
administer exams and quizzes. Tutors and teachers may now
save time by not having to manually create and edit questions.
With the help of AI, learning patterns have become much more
practical and effective, and the quality of both has been greatly
improved. With the use of AI, educational institutions may
design more tailored lessons for their students. There are many
different kinds of games, but all of them have one thing in
common: they aim to teach players something.
AI may aid in the detection of exceptional abilities as well
as learning disabilities experienced by students. In artificial
intelligence systems, learning is based on technology and is
individualized to help students become more self-reliant,

which in turn improves their learning experience. AI learning
that places an emphasis on certain systems has the potential
to sharpen students’ attention. AI has the ability to recognize
topics that students struggle with, allowing it to adapt and
discover new methods to enhance their learning. Thus, AI
may be used to assess the best technique to instruct students.
This gives the instructor a chance to focus on the subject chosen.
Enhanced participation. Students are more actively involved
in their own learning when they use modern technology like
gamification and virtual reality. Through the use of various
AI-enabled algorithms, users’ knowledge and interests may
be analyzed to provide more tailored training programs and
suggestions. 3) Curriculum development that is automated.
Growth in artificial intelligence has enormous positive effects
on the lives of educators. Developing a course outline from
the ground up is not necessary at this time.
Teachers will not need a deep understanding of technology
to create media or educational materials thanks to AI.
Educators need just sift and choose from the various accessible
tools and platforms to meet their individual requirements.
When it comes to grading, AI has made it so that educators
may spend less time on the task. Without the need for the
instructor to manually analyze each item, automated
assessment of student assignments is now possible. Using AI
in the classroom also allows for immediate feedback to
students in the form of grades. The time it takes to determine
their worth is short. If teachers are able to reduce the amount
of time spent evaluating their students, they will have more
time to devote to really teaching and learning.
AI allows for the execution of learning tasks at any time.
Opportunities to learn are no longer constrained by time or
place, thanks to AI-based technologies. Furthermore, students
are not limited to just having the option of working with
instructors at their school. Because there are so many
“teachers” on this online platform, kids may interact with
educators all around the world, even those in different nations.

185
Improved learning experiences and skills for students are
definitely within the realm of possibility. AI provides to be
an invaluable tool in the field of education, especially in the
current pandemic scenario when online learning has become
mandatory. In order to keep learning going, traditional
classroom activities are being replaced by online ones. This is
to make it easier to provide knowledge, communicate with
students, and keep the conversation going. AI has the potential
to greatly improve and adapt education to meet the needs of
modern society.
Teachers can now move to a level where they enlighten
students with substantial keywords and, most importantly,
return to what is essential. We must uphold the moral
education that is taught.The learning process has to be
innovative and creative to meet the changing demands of
education. As AI becomes more widely used in the education
sector, it will be able to assist with a wide range of routine
tasks, including instruction and assessment.As a result, the
intellect of a teacher is second to none, much as that of a
naturally gifted instructor. On the other hand, a gift requires
the best care possible. The development of AI coincides with
the rise of the industrial revolution, which in turn was a product
of the inventive spirit and innate intellect of humans. This
means that they will never be on equal ground when
compared. The combination of artificial and natural intelligence
may provide flawless results. With the advancement of science
and technology in the future, technological gadgets will be
able to take over many of the tasks now performed by
teachers, including taking attendance, correcting student work,
administering quizzes and examinations on a regular basis,
explaining concepts, creating administrative reports, and more.
In order to produce a golden generation that surpasses
machines in intellect, character, and quality, teachers may
conserve energy and devote more time to non-systemic tasks.

Although AI has the potential to educate students, it is
unable to foster personal growth. That is the role of a teacher.
How to encourage, inspire, and mold students into excellent
learners. Since AI is not endowed with sentiments and emotions
like humans, it cannot replace teachers in their roles of
motivating, inspiring, and molding character. Ultimately,
keeping up with technological innovations requires the ability
to adapt. Technology may one day displace us as educators
(teachers/lecturers) if we do not adapt.
REFERENCES
Barbas-Rhoden, L., Turpin, K. M., Ferry, M. M., Fuente, M. J. D. La,
Parra, M. L., Seijas, J. M., … Fuente, M. J. D. La. (2021). Education
for Sustainable Development in Foreign Language Learning:
Content-Based Instruction in College-Level Curricula, First
Edition. In M. J. D. La Fuente (Ed.), Education for Sustainable
Development in Foreign Language Learning: Content-Based
Instruction in College-Level Curricula, First Edition (First). New
York, The US: Routledge Research in Language Education.
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Council of Europe. (2001). Comes: Learning, Teaching, Assessment
(CEFR) European Framework of Reference for Languages:
Learning, teaching, assessment. In Common European
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rm.coe.int/1680459f97
Law, N., Woo, D., Torre, J. de la, & Wong, G. (2018). A Global
Framework of Reference on Digital Literacy Skills for Indicator
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Information Technology in Education (CITE), University of
HINGKONG. Retrieved from http://uis.unesco.org/sites/
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17:45
OECD. (2009). Creating Effective Teaching and Learning Environments
First Results from TALIS.
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Education and Educating for Innovation. Paris: OECD Publishing.
https://doi.org/10.1787/9789264265097-en

187
Index

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