Generative AI in Higher Education: A Practical Guide to Pedagogy, Policy, and Innovative Assessment

Higher education is no longer asking whether generative AI should be used. The real question is how it can be used responsibly, ethically and effectively. This book addresses that question by translating current evidence into practical strategies for curriculum design, teaching, assessment, academic integrity, faculty development and institutional governance.

Written for academic leaders, faculty, instructional designers, professional services teams and policymakers, the book moves beyond the hype. It explains how generative AI can support personalised learning, authentic assessment, academic writing, research, feedback, accessibility and administrative productivity, while also confronting the risks of hallucination, bias, over-reliance, inequitable access, privacy breaches and weak institutional policy.

Inside, readers will find practical frameworks, worked examples, prompt-based activities, disclosure templates, assessment redesign strategies and governance checklists. The emphasis throughout is on human judgement, educational purpose and responsible implementation.

This is not a book about replacing teachers. It is a book about helping educators become confident AI-informed practitioners who can design better learning experiences, guide students ethically and prepare institutions for an AI-enabled future.

Ideal for university faculty, academic developers, programme leaders, curriculum committees, education policymakers and anyone responsible for integrating generative AI into higher education.

Evidence base: The book description draws on your uploaded synthesis showing that generative AI is reshaping higher education through pedagogical transformation, assessment redesign and institutional implementation needs , alongside your broader report on curriculum integration, AI literacy, ethics, equity and governance