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AI in Higher Education

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Generative AI is rapidly reshaping university learning, both challenging and empowering educators and students. Covering the history, technology, ethics and educational applications of AI, this boo...
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  • 24 November 2026
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Generative AI is rapidly reshaping university learning, both challenging and empowering educators and students.

Covering the history, technology, ethics and educational applications of AI, this book provides concrete examples of how students and teachers are already integrating these tools in meaningful ways. It supports thoughtful, intentional use of AI to enhance student learning, situating AI within key learning theories and ethical frameworks, and offers tutorials, videos and updates via an accompanying website.

Essential reading for educators and students, this timely and practical guide helps readers chart a course through this fast-moving topic, showing how generative AI can support – not replace – deep, autonomous learning.

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Price: $29.95
Pages: 176
Publisher: Bristol University Press
Imprint: Bristol University Press
Publication Date: 24 November 2026
ISBN: 9781529256390
Format: Paperback
BISACs: EDUCATION / Computers & Technology, Digital and information technologies: social and ethical aspects, COMPUTERS / Artificial Intelligence / General, SOCIAL SCIENCE / Technology Studies, Educational equipment and technology, computer-aided learning (CAL), Educational: IT and computing, ICT
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“Sine Zambach's book is an essential practical introduction with many relevant and useful examples for students, teachers, and leaders in higher education.” Maja Horst, Aarhus University

“Academia is among the human activities that can improve the world – but only if learners and teachers of each generation jointly investigate the major changes of their times. AI in Higher Education is a wise call to action for both sides of the classroom during our times’ most fundamental shift.” Gregor Halff, Vrije Universiteit Amsterdam

Sine Zambach is Assistant Professor in the Department of Digitalization at Copenhagen Business School and holds a PhD in Computer Science specializing in Artificial Intelligence.

Introduction

Chapter 1. AI – an introduction

Chapter 2. Working with generative AI

Chapter 3. AI and the learner

Chapter 4. AI and the teacher

Chapter 5. Data ethics and philosophical questions about AI

Chapter 6. Future concerns and hopes for AI in education

Conclusions

References