Teaching and Learning in the Age of Generative AI: Evidence-Based Approaches to Pedagogy, Ethics, and Beyond
Edited by Joseph Rene Corbeil & Maria Elena Corbeil (2025)
🏆 Winner of the 2025 Systems Thinking & Change Division Outstanding Book Award from the Association for Educational Communications and Technology!
If you are designing a course that addresses generative AI in education, this award-winning volume provides a research-driven, classroom-ready foundation. Rather than offering hype or fear, this book helps educators:
- Ground AI integration in learning theory and research
- Address academic integrity with thoughtful, practical strategies
- Redesign assessment for an AI-enabled world
- Explore ethics, bias, privacy, and institutional responsibility
- Leverage AI to enhance critical thinking and digital literacy
Bookended by historical and forward-looking analyses of AI in education, the chapters move beyond surface-level discussions to provide evidence-based approaches for real classrooms—K–12, higher education, and professional learning environments.
This text is ideal for:
- Undergraduate and graduate teacher education programs
- Curriculum & Instruction courses
- Educational Technology programs
- Higher education faculty development
- School technology coordinators and talent development professionals
Adopting a GenAI textbook for an upcoming semester?
We invite you to request an inspection copy and explore how this resource can support your students in navigating AI with skill, ethics, and informed judgment.
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