Your hub for trends, best practices and resources
542,000+ Visitors Annually!

Learning with Generative Artificial Intelligence: What Empirical Studies Tell Us

Publication date
2025
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
Link to book
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. 

APA Citation

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

Target Audiences
Academic Administrators and Policy-Makers
Faculty and Instructors
Topics
Artificial Intelligence
Digital Learning
Publication date
2025
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