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

Nartey, Emmanuel K. (2025). Generative AI in Higher Education: Guiding Principles for Teaching and Learning. CRC Press Reference Books in Computer Science, 1. Abingdon, UK: Routledge (In Press).

URL: https://www.routledge.com/Generative-AI-in-Higher-...

Abstract

This book, Generative AI in Higher Education: Guiding Principles for Teaching and Learning, explores how higher education institutions can effectively embrace and implement generative AI to transform the educational experience. It highlights both the great potential of GenAI and the precautions needed for its responsible use. The book provides guiding principles for institutions, ensuring that the integration of generative AI enhances rather than harms the educational process. It addresses key concerns about using AI in higher education, such as ethics, the authenticity of the academic experience, equity, accessibility, and the impact on jobs. By reviewing the historical use of AI in education, the author argues that while these concerns are important, they should not prevent institutions from moving forward. Instead, these challenges should guide the development of policies and guidelines that ensure AI’s benefits are realised without increasing existing inequalities or compromising the core mission of higher education: to educate, inspire, and prepare students to contribute meaningfully to society

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