Artificial Intelligence and the New Pedagogical Landscape

Key Reports and Authors

AI, Universities, and New Teaching and Learning Models

Dr Richard Whittle

Dr James Ransom

International and Emerging Best Practices: Generative AI in the Context of Digital Transformation

Mairéad Pratschke, Ph.D

A Horizon-Scanning Report on Academic and Institutional Integrity

Dr Sarah Elaine Eaton

Beatriz Antonieta Moya, Ph.D

Insights

AI’s pervasive influence on teaching, learning, and research is evident in multiple reports.

Whittle and Ransom chart the historical trajectory of AI in education, exploring its current capabilities and forecasting how responsible, ethical deployment can reshape student support and assessment.

Pratschke’s focus on generative AI (GAI) also highlights the dual nature of these tools: on the one hand, they present immediate challenges to academic integrity and assessment practices; on the other, they provide opportunities for personalised learning and innovative pedagogies.

Equally important is the intersection with academic integrity, as Eaton and Moya demonstrate in their horizon-scanning work. AI-driven platforms have made it more difficult to detect plagiarism or contract cheating, creating an urgent need for institutions to proactively develop policies, training, and technology solutions that safeguard scholarly standards.

Implications for Higher Education