Navigating Generative AI in Higher Education

Ethical, Theoretical and Practical Perspectives
This timely book explores the role of generative artificial intelligence (AI) in reshaping higher education. It presents a detailed examination of the impact of generative AI on teaching, research and academic practices, investigating its transformative potential and addressing key ethical concerns and challenges.
This timely book explores the role of generative artificial intelligence (AI) in reshaping higher education. It presents a detailed examination of the impact of generative AI on teaching, research and academic practices, investigating its transformative potential and addressing key ethical concerns and challenges.

Leading international experts discuss how generative AI can be used for personalized learning and innovative assessment and pedagogical strategies, providing practical insights and frameworks for equipping students with essential AI competencies. They identify ethical issues surrounding the use of AI such as bias, academic integrity and transparency, as well as demonstrating how human-centred design principles can ensure that AI enhances education while safeguarding equity and inclusivity. The book emphasizes the importance of interdisciplinary collaboration between educators, policymakers and AI developers, outlining global perspectives and encouraging a transdisciplinary approach to policy development.

Students and scholars of education policy, curriculum, pedagogy and sociology will greatly benefit from this comprehensive book. It is also an essential resource for policymakers and practitioners in higher education administration and management.

Contributor: Soroush Sabbaghan (Edited by)

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