Generative AI in Higher Education:Guiding Principles for Teaching and Learning

Volume 1

Emmanuel Nartey, Emmanuel K Nartey

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040305584
• Topic: Computer Science
• Subtopic: Neural Networks
• Index: Computer Science

Divided into two volumes, this book develops guiding principles for higher education institutions to use GenAI effectively and ethically in teaching and learning, articulating a roadmap for implementation at institutional levels and addressing the conundrum of using GenAI in higher education. As higher education institutions take different attitudes and approaches to Generative AI (GenAI), with some viewing it as a threat to academic integrity and therefore banning its use, while others have embraced it as an innovation to academic practice and have implemented guidance on how to use it ethically, this book makes clear that GenAI, such as ChatGPT, is not the problem itself; the issue is how we engage with it.

Table of contents

• Cover Page
• Half Title page
• Series Page
• Title Page
• Copyright Page
• Contents
• Foreword
• Preface
• Acknowledgements
• Acknowledgement of the Use of Generative AI
• Introduction
• Chapter 1 Navigating the Discourse of Generative Artificial Intelligence: Historical Precedents, Societal Attitudes, and Ethical Considerations
• Chapter 2 Proposed Guiding Principles at UK Higher Education Institutions
• Chapter 3 Conclusion
• Bibliography
• Index