AI Integration Framework
This framework is designed to serve as a guide for integrating the use of AI in education and training settings with adult learners and workers. It outlines critical considerations across six dimensions to ensure the use of AI aligns with educational goals, upholds ethics and privacy, and more. Each dimension includes targeted questions aimed at the technology and the users to facilitate a deeper exploration and understanding, encouraging a thorough evaluation from both a technical and human-centered perspective. To expand AI knowledge and awareness, each dimension contains useful resources and use scenarios, providing further insights and practical understanding, to aid in a well-rounded decision-making process. To see all of the questions and considerations connected to each dimension in one place, open it in this spreadsheet.
Click on each dimension to learn more.
AI Capabilities and Learning Goals
Mitigating Biases
Ethics and Data Use
Human Oversight and Overreliance
Evidence of Impact
Ease of Use
AI Capabilities and Learning Goals
Mitigating Biases
Addressing biases in AI systems requires action by both technology developers and end-users to ensure outputs meet the needs of all learners.
Ethics and Data Use
Evaluating ethics regarding data protection and other critical issues contributes to a positive impact on individuals and communities.
Human Oversight and Overreliance
Ensuring human oversight in AI systems prevents overreliance on technology and maintains educational integrity.
Evidence of Impact
Assessing evidence of impact and aligning it with existing benchmarks verifies that the AI solution effectively enhances educational outcomes.
Ease of Use
Ensuring the AI solution and its implementation are designed to cater to all learners’ needs expands learning and achievement.
The AI Integration Framework was adapted, with permission, from the “Top 6 Questions for GenAI EdTech Providers” resource developed by AI for Education.
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