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Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond

Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond

Edited by
Joseph Rene Corbeil
Professor of Educational Technology at The University of Texas Rio Grande Valley, USA
Maria Elena Corbeil
Professor of Educational Technology at The University of Texas Rio Grande Valley, USA
Publication date
2025
Book Review

Bookended by in-depth analyses of the historical and future trajectories of artificial intelligence in education, this comprehensive resource provides evidence-based strategies for classroom implementation and helpful summaries of the benefits and risks associated with AI. Teaching assistance, personalized learning, redefined assessments, anti-bias measures, and safeguards against misconduct and privacy infringement are among the wealth of topics addressed in these chapters. Generally, the authors are supportive of the use of AI as a co-intelligent partner for teaching, learning and assessment. They do explore concerns and issues but take a “we need to get on with it” attitude.

Target Audience
Faculty and Instructors
Program, Course and Instructional Designers
Link to book
https://www.routledge.com/Teaching-and-Learning-in-the-Age-of-Generative-AI-Evid…
APA Citation

Corbeil, J.R. & Corbeil, M.E. (2025). Teaching and learning in the age of Generative AI: Evidence-based approaches to pedagogy, ethics and beyond. Routledge.

Sujets
Artificial Intelligence
Learning Design

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