Handbook of Artificial Intelligence in Higher Education

This timely Handbook highlights the practical challenges and ethical considerations surrounding artificial intelligence (AI) in higher education. An international array of experts pair empirical research with real-world examples of AI implementation in teaching, learning, assessment, and administration.
This timely Handbook highlights the practical challenges and ethical considerations surrounding artificial intelligence (AI) in higher education. An international array of experts pair empirical research with real-world examples of AI implementation in teaching, learning, assessment, and administration.

Bringing together critical perspectives from around the world, this state-of-the-art Handbook illustrates the practical dilemmas and ethical stakes of generative AI in lecture halls, research projects, and university governance. Contributors explore emerging trends, risks, and innovative applications of the technology in universities, proposing cutting-edge solutions to the challenges posed by AI to higher education institutions. Drawing on evidence-based scholarship, global case studies, and nuanced critique, this Handbook invites higher education stakeholders to confront AI’s hidden labour and environmental costs, question its social and pedagogical biases, and leverage its opportunities.

This Handbook is an essential resource for scholars and students in all areas of higher education research and policy, particularly those focused on the expanding role of AI. Administrators, institutional leaders, and policymakers will profit from its invaluable insights into policy and governance. It is also of interest to curriculum developers and teachers, due to its actionable recommendations on the optimal use of this new technology.

Contributor: Stefan Popenici (Edited by), Jürgen Rudolph (Edited by), Fadhil Ismail (Edited by), Shannon Tan (Edited by)

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