In this article, Dr. Mehdi Riazi, Professor and Associate Dean for Research, College of Humanities and Social Sciences, explores the role of AI in assessing learning outcomes. He also highlights the profound shifts in how teaching and learning are currently approached, particularly when evaluating student performance. Dr. Riazi calls on educators and policymakers to integrate AI tools into the educational process in ways that align with sound pedagogical principles. He emphasizes that by leveraging frameworks like the Zone of Proximal Development (ZPD) and Assessment for Learning (AfL), educators can harness AI’s potential to enhance rather than undermine learning.
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This piece has been submitted by HBKU’s Communications Directorate on behalf of its author. The thoughts and views expressed are the author’s own and do not necessarily reflect an official University stance.
