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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.
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.
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