AI Readiness Framework for Schools & Universities: Benchmark Your Path to AI Integration

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AI Readiness Framework
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Introduction to the
AIREd Framework
The AI Readiness in Education (AIREd) Framework is a meticulously designed tool aimed at
evaluating and advancing the readiness of educational institutions to integrate Artificial
Intelligence (AI) into their ecosystems. Specifically tailored to meet the unique requirements of
schools, colleges, and universities, the AIREd Framework strives to ensure a seamless transition
towards adopting AI technologies for enhancing educational outcomes, operational efficiency,
and strategic growth.
Scope & Objectives:
The AIREd framework aims to:
● Evaluate the capability levels of educational institutions to lead AI transformation in
alignment with organizational strategy and educational objectives.
● Measure the institutions' ability to absorb and integrate AI technologies into their
ecosystems, thereby enhancing learning experiences and operational efficiencies.
By applying this structured approach, educational institutions can identify their current stage in
the AI maturity model — ranging from AI Starter, where institutions are at the initial stages of AI
exploration, to AI Elite, indicating a comprehensive and sophisticated integration of AI. This
progression underscores an institution's journey towards achieving excellence in AI adoption,
enabling them to leverage AI technologies for educational innovation and improvement.
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The AIREd framework serves as a detailed guide for educational institutions seeking to navigate
the complexities of AI integration, providing a clear roadmap for achieving higher levels of AI
maturity and readiness.
Framework Overview
Through a structured methodology, AIREd assesses AI readiness by segmenting various
dimensions of institutional preparedness into dimensions, sub-dimensions, evaluation criteria,
and maturity stages. It provides a comprehensive overview of an institution's existing AI
capabilities and outlines a path for future development and integration.
Dimensions and Sub-dimensions
The framework organizes AI readiness into several key dimensions, each containing specific
sub-dimensions that collectively address the extensive spectrum of AI readiness:
Dimensions and Sub-dimensions:

D1-Strategic Foundation:
● Focuses on evaluating the institution's strategic approach to AI, including
resource accessibility and strategic investments in AI technologies. This
dimension is pivotal for institutions beginning their AI journey, setting the
groundwork for future advancements.

D2-Talent Development & Culture:
● Concentrates on the development of AI talent and fostering a culture that
supports AI learning and innovation. It includes assessing stakeholder
engagement, the adoption process, and plans for enhancing AI capabilities.

D3-Ethics & Responsibility:
● Addresses the ethical implications and governance of AI within educational
settings. It examines institutions' adherence to ethical AI use, data governance,
and the alignment of AI initiatives with industry standards.

D4-Technology & Data:

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● Evaluates the technological infrastructure and data management practices in
place to support AI applications. This dimension is crucial for ensuring that AI
technologies can be effectively integrated and utilized.

D5-Impact & Efficiency:
● Assesses the impact of AI on enhancing learning outcomes and operational
efficiency. This dimension looks at AI literacy and expertise, funding and training
for AI, and the readiness of data and infrastructure to support AI initiatives.
Maturity Stages
Responses to the evaluation criteria classify institutions into one of four distinct maturity
stages, reflecting their current AI readiness level:

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● L0-AI None: Represents the foundational level where institutions have yet to engage with
or implement AI.
● L1-AI Starter: Institutions at this stage are beginning their journey into AI, exploring
possibilities and initiating foundational projects.
● L2-AI Advanced: Marks a significant phase where institutions actively deploy and
integrate AI technologies across various functions.
● L3-AI Mature: Signifies a high degree of AI integration, where institutions fully leverage AI
for strategic innovation and operational excellence.
Implementation Process
Implementing the AIREd framework involves a systematic procedure:
● Assessment Distribution: Sharing the AIREd assessment with key stakeholders within
the institution to ensure comprehensive participation.
● Response Collection: Gathering responses, preferably through digital means like Google
Forms, to streamline analysis.
● Scoring and Analysis: Evaluating responses against predefined criteria to ascertain the
institution's maturity stage.
● Feedback and Recommendations: Offering bespoke feedback and recommendations
based on the analysis to guide institutions in enhancing their AI readiness.
Analysis and Scoring
The framework employs a scoring model that assigns values to responses, with higher scores
denoting advanced AI readiness. The aggregate score situates the institution within the
specified maturity stages, illuminating its current AI capabilities and pinpointing areas for
growth.
Benefits for Educational Institutions

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The AIREd framework equips educational institutions with the ability to:
● Benchmark AI Readiness: Understand their positioning relative to an optimal AI
integration model.
● Identify Strengths and Gaps: Recognize existing strengths and identify critical areas
needing attention.
● Inform Strategy Development: Leverage assessment insights to shape strategic AI
planning and decision-making processes.
● Guide Investment: Allocate resources effectively to areas poised to significantly impact
AI readiness.
Conclusion
The AIREd Framework emerges as an essential instrument for educational institutions
navigating the intricacies of AI adoption. By furnishing a lucid and structured approach to
appraising readiness, it enables institutions to make informed strategic decisions, efficiently
allocate resources, and fully embrace the transformative capabilities of AI in education. This
comprehensive framework thus stands as a cornerstone for institutions aiming to progress
through the stages of AI maturity—from AI None to AI Mature—ultimately achieving excellence
in AI integration and application.
AI Readiness Assessment for Educational
Institutions
Welcome to the "AI Readiness Assessment for Educational Institutions," a pivotal tool designed
to navigate the future of artificial intelligence within your academic setting. This assessment
aims to reveal the current landscape of AI adoption and readiness at your institution, providing
valuable insights that can inform your strategic direction for integrating AI technologies.
Why Participate?

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By completing this assessment, you'll receive via email:
● A Personalized Report: Tailored insights highlighting your institution's AI strengths and
areas for growth.
● Strategic Recommendations: Actionable steps to align your IT and educational strategies
with AI advancements.
● In-depth Analysis: A deeper understanding of your institution's position in the AI adoption
curve compared to educational standards.
Link to AIRED Tool: https://forms.gle/CxoQGSVE4S4HXsEV9

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