Teaching and Learning with Generative AI: Practical Strategies and Ethical Insights for Educators

A new book offers practical, evidence-based strategies for educators to integrate generative AI responsibly in classrooms. It addresses ethics, curriculum, and future trends in AI education.

Categorized in: AI News Education
Published on: May 07, 2025
Teaching and Learning with Generative AI: Practical Strategies and Ethical Insights for Educators

Teaching and Learning in the Age of Generative AI

A new book co-edited by education technology professors Joseph Rene Corbeil and Maria Elena Corbeil offers a practical guide for educators facing the realities of generative AI in classrooms and curricula. Rather than reacting to AI, this volume provides evidence-based strategies, clear analysis, and thoughtful discussion on the benefits and risks of AI in education.

With contributions from more than three dozen experts, predominantly from the United States, the book acknowledges that the presence of generative AI in education is inevitable. It covers curriculum redesign, assessment innovation, policy, access, and digital ethics, making it relevant for educators and staff working at all educational levels.

Understanding the AI Shift in Education

When ChatGPT launched in November 2022, many educators felt unprepared and uncertain about how to respond. This book grew out of those initial questions and concerns, aiming to help educators make AI a useful tool rather than a source of fear. As one of the editors points out, “Know the limitations. Know the downside, as with any technology, and recognize that AI is a tool—it can’t replace humans.”

About the Book

Teaching and Learning in the Age of Generative AI: Evidence-based approaches to pedagogy, ethics and beyond was published by Routledge in April 2025. Its main goals include:

  • Exploring how generative AI affects education
  • Developing ethical and responsible AI policies
  • Improving AI literacy for educators and students
  • Addressing institutional and ethical challenges
  • Anticipating future trends in AI-driven education

The book notes that while AI raises concerns about academic integrity, it also has the potential to supplement instruction, encourage critical thinking, and promote digital literacy. It targets a broad audience—from pre-service teachers to university faculty—offering insights applicable across school and higher education settings.

One highlighted strength is the book’s effort to connect school-level and higher education perspectives, providing a unified view of how AI can support lifelong learning. This makes it a valuable resource for educators and policymakers looking to prepare students for an AI-driven future.

The Journey Behind the Book

This is the Corbeils’ fourth collaborative book, and they consider it their most significant work so far. Unlike past projects, the rapid emergence of generative AI pushed educators into unfamiliar territory. The editors admit they are not AI experts in the traditional sense, but they’ve dedicated two years to exploring AI’s potential and limits to help others keep pace.

Because AI technology evolves quickly, the editors worked closely with contributors to keep chapters forward-thinking and relevant. They also emphasized the need to rethink concepts like plagiarism and cheating in an AI context, as AI tools become integrated into everyday productivity software.

Practical Guidance for Educators

The book includes actionable advice for using AI in education. For example, one chapter offers a framework for implementing AI at different levels within an institution. Another chapter details transformative teaching methods using AI tools.

However, the editors stress that hands-on experimentation with AI is essential. Understanding AI’s strengths and weaknesses requires consistent practice with tools and prompts. Despite improvements, issues like misinformation and hallucinations in AI outputs remain, making critical evaluation vital.

Looking Ahead: The Future of AI in Education

The book’s closing chapter envisions an optimistic future where AI is designed and implemented ethically. Emerging technologies like augmented reality glasses could soon replace smartphones, overlaying digital information on the real world and transforming how people learn and interact.

By 2040, AI could personalize learning to an unprecedented degree. Students might learn anywhere—whether sitting in a café in Paris or exploring a virtual environment—choosing topics that interest them while AI ensures core concepts are covered. This shift could disrupt traditional campus-based education and lectures.

Despite these changes, the human element remains crucial. Educators will continue to guide, support, and collaborate with students. AI is expected to free up time for more meaningful interaction rather than replace human involvement.

Final Thoughts for Educators

Generative AI is reshaping education, but it’s still early days. Educators are encouraged to explore AI tools actively, understand their capabilities, and develop new teaching approaches that integrate AI responsibly. This book serves as a practical roadmap to help educators adapt and thrive in this changing landscape.

For those interested in deepening their AI skills in education, consider exploring Complete AI Training’s courses for educators to build confidence and competence with these emerging tools.


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