Navigating AI in Higher Education Policy
Governance, Justice and Innovation
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- Description
- Contents
- About
Navigating AI in Higher Education Policy offers a timely and authoritative exploration of how AI is transforming the landscape of higher education policy worldwide. Bringing together scholars and practitioners with expertise in higher education and AI, this volume examines the urgent challenges and opportunities posed by AI, from institutional governance and academic integrity to equity, ethics, and global justice.
Through international case studies and innovative conceptual frameworks, including the Tripartite AI Competency Model and the Ethical-Intelligence Quotient, each chapter provides practical guidance for policymakers, educators, and researchers seeking to shape responsible, inclusive, and future-ready AI strategies.
Essential reading for anyone navigating the complexities of AI-driven change in higher education, this volume bridges the gap between fragmented policy responses and the need for coherent, justice-oriented frameworks that safeguard academic values and promote transformative innovation.
Chapter 1. Introduction: AI in Higher Education Policy; Iryna Kushnir, Aleksander Blaszko, and Ania Atkinson
- Part I. Governance and Institutional Responses to AI
- Chapter 2. A Proactive AI Policy Framework for Navigating the Generative AI Disruption in Higher Education; Bukola Ogunyemi
- Chapter 3. Bridging the Policy-Practice Divide with PRISM: An Auditable Route to AI Decisions in Higher Education; Cato Rolea, Tom Newham, and Claudia M. Bordogna
- Chapter 4. AI Governance in Higher Education: An EDI-Informed Critical Policy Discourse Framework for Academic Integrity Policy; Thanh Nguyen
- Chapter 5. Institutional Policy Gaps and Readiness for Artificial Intelligence Integration in Higher Education; MD Bayezid Islam, Nazeer Rasouli, Farha Ulfath Kabir, Mahfuza Faiza Ibnat, and Brian P. An
- Part II. Justice, Practice and Innovation
- Chapter 6. Staying Relevant in the Age of AI: The Importance of AI Literacy, Subject Expertise, and Technology Acceptance for Higher Education Teaching Staff – A Narrative Review; Anthony Bloxham and Tom Newham
- Chapter 7. Structured Diversity: How and Why Higher Education Assessment Policy Responses to Generative AI Diverge; Alastair Town
- Chapter 8. Generative AI and Monotropism in Higher Education: Towards Interest-Driven Personalised Learning for Autistic Students; Ania Atkinson, Chris Rolph, Aleksander Blaszko, and Iryna Kushnir
- Chapter 9. Conclusion: Governance, Justice and Innovation in Navigating AI in Higher Education Policy; Iryna Kushnir, Aleksander Blaszko, Hua Zhong, Miriam Sang-Ah Park, and Ania Atkinson
Iryna Kushnir is an Associate Professor at the Nottingham Institute of Education, Children and Youth at Nottingham Trent University, UK.
Aleksander Blaszko is a Lecturer in Education at the Nottingham Institute of Education, Children and Youth at Nottingham Trent University, UK.
Ania Atkinson is a Senior Lecturer in Inclusion at Nottingham Trent University, UK.