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.
We use cookies on this site to enhance your user experience
By clicking "Accept" you agree to practices outlined in our Privacy Policy