Putting AI in Fair: Toward a Validity Framework Centering Fairness and Transformative Justice in AI-driven Learner Models for Accessible and Inclusive Assessment

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  2. Putting AI in Fair: Toward a Validity Framework Centering Fairness and Transformative Justice in AI-driven Learner Models for Accessible and Inclusive Assessment

This report delves into the critical role of learner models in educational assessment and includes a systematic review of recent literature on artificial intelligence (AI) and K–12 education. The review brings to light gaps and opportunities in current practices and serves as a foundation for the Fair AI Framework.

Authors: Sato, E. (WIDA), Shyyan, V.V. (WIDA), Chauhan, S., Christensen, L.L. (WIDA)

Journal of Measurement and Evaluation in Education and Psychology: Special Issue

Released January 2024