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  4. Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

Edited by
Yizhou Fan
Assistant Professor at the Graduate School of Education, Peking University and an Adjunct Research Fellow at the Centre for Learning Analytics, Monash University
Publication date
2025
Book Review

This book explores the possibilities of digital transformation, presenting a thorough and empirical examination of generative artificial intelligence (GenAI)’s impact beyond the theoretical and fragmented insights that inform the largely defensive discourse heard at this time. Drawing from peer-reviewed and extensive empirical studies, the authors aim to unveil the multifaceted effects of GenAI (particularly ChatGPT) on learning. They navigate through topics of interaction, assessment, emotion, impact and efficiency, meta-cognition and ethics, offering a comprehensive exploration of GenAI’s educational implications. This book uses a closed loop of learning theory, multimodal data and learning analytics technology to inform the analysis. It’s a short (nine chapters), punchy and thoughtful book. Well worth a read. 

Target Audience
Academic Administrators and Policy-Makers
Faculty and Instructors
Link to book
https://www.routledge.com/Learning-with-Generative-Artificial-Intelligence-What-…
APA Citation

Fan, Y. [Ed]. (2025). Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us. Routledge.

Topics
Artificial Intelligence
Digital Learning

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