Infographic. Artificial Intelligence in Education
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The document discusses the transformative role of AI in education, highlighting its potential to redefine educators' roles from knowledge-holders to facilitators of societal development. It outlines various applications of AI, such as personalized learning, automation of administrative tasks, and identification of learning gaps, which can enhance student engagement and improve educational outcomes. With an estimated market value of AI in education reaching $6 billion by 2024, the technology is poised to provide equal opportunities and adaptability for future learners.
Infographic. Artificial Intelligence in Education
- 1. AI in Education 6$ Billion 6$ billion General Issues and Problems in Education Process Education Shift Top Education Technology Trends for 2020 Benefits Top 5 Use Cases of How AI Can Be Applied in Education and How It Can Help estimated total market value of AI in Education by 2024. The notion of an educator as the knowledge-holder who imparts wisdom to their pupils is no longer fit for the purpose of a 21st-century education. With students being able to gain access to knowledge, and even learn a technical skill, through a few clicks on their phones, tablets and computers, we will need to redefine the role of the educator in the classroom and lecture theatre. This may mean that the role of educators will need to move towards facilitating young people’s development as contributing members of society. Interactive Tutoring With the help of AI and Machine Learning, finding a remote help won't be a problem any more. Students can easily find help whenever they are, from anywhere of the world, 24/7. Automation and Speeding Up of Teacher’s Tasks In addition to education-oriented duties, teachers are also faced with having to manage the classroom environment and handle various organizational tasks. Personalization AI systems are being used to tailor and personalize learning for each individual student. Through the power of machine learning based hyperpersonalization, AI systems are being used to develop a custom learning profile of each student and customize the training materials for each student based on their ability, preferred mode of learning, and experience. Smart Content AI systems can condense content of a simple textbook into a more digestible study guide. Offering to the students various learning materials, from digitized textbooks to customized interfaces thus increasing the students engagement. Identification of Learning Gaps in the Classroom The use of AI algorithms can monitor students actions and their answers to the questions, and help identify which concepts the teacher needs to retaught. Resilience and adaptability will be crucial for the next generations entering work of learning management tools will be enabled by AI capabilities by 2024. of time is spent on non-teaching tasks by educators. 47% 50% Resilience Tech and Data-Driven Analysis of Students Hyper personalization Curriculum automation Chatbots Self Paced Learning Podcasting Artificial Intelligence (AI) Video-based learning Better engagement Internet of Things (IoT) Ability to detect weaknesses Virtual Reality (VR) Deep involving into educational process Online Assessment Techniques Flexibility & adaptability Emotional intelligence continuous learning entrepreneurial skills creativity & Critical thinking 2018 2019 2020 2021 2022 2023 2024 Provide equal opportunities to big classrooms and involve students in the educational process. Taking learning outside of the classroom into the learners’ life outside the school. Personalize the educational process and assist learners with self-direction, self assessment, teamwork, and more. Give teachers an opportunity to concentrate on teaching tasks and issues rather than spending time on paperwork. Provide accessibility to the classrooms worldwide. AI systems can help grade homework, evaluate essays, check the plagiarism, and measure students responses, thus giving teachers an opportunity to eliminate routine tasks and concentrate on the teaching process. Even though all the technologies, as mentioned above, are more or less integrated into the educational process, AI is still considered as the most promising technique as it allows to automate a considerable number of methods and processes and ensure the most differentiated approaches to the students. indatalabs.com Big on Data Science & AI