Universities and AI: Developing New Models of Teaching and Learning in the Realm of Radical Uncertainty

Creator(s) (alphabetical)

James Ransom, Richard Whittle

Organisation(s)

National Digital Leadership Network

Discipline(s)

Topic(s)

Digital Learning

License

CC BY-NC

Media Format

PDF

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Description

In this report we present a detailed examination of current AI use and considerations for its safe and ethical deployment. We conclude with horizon scanning and recommendations for educational establishments beginning to incorporate AI.

Authors

Dr James Ransom is a higher education specialist whose work looks at how universities can help adapt to and solve challenges facing society, including rapid technological change. He is an Honorary Senior Research Fellow at UCL Institute of Education, Head of Research at the National Centre for Entrepreneurship in Education (NCEE), and a Specialist Advisor on higher education to the European Bank for Reconstruction and Development. Previous work includes projects for the British Council, the Royal Society, and the British Academy, as well as jobs in policy at Universities UK, UNESCO, and the Association of Commonwealth Universities.

Dr Richard Whittle is an expert in the economics of Artificial Intelligence. He researches Artificial Intelligence and Human Decision-Making and has published in world-leading journals such as Work Employment and Society, Public Administration, and the Cambridge Journal of Economics. Richard led the technical research for the Greater Manchester Independent Prosperity Review, and he is an academic advisor to the Manchester Digital Strategy. Richard has received research funding from numerous sources, including the Economic and Social Research Council (ESRC), UK Research and Innovation (UKRI), Research England, and the Money Advice Service, and he has been the recipient of a personal Capabilities in Academic Policy Engagement (CAPE) fellowship hosted at the Institute of Innovation and Public Purpose, UCL.

Commissioned by the N-TUTORR National Digital Leadership Network.

Benefit of this resource and how to make the best use of it

This report investigates the implications of Artificial Intelligence (AI) on Learning, teaching and research. It presents a brief history of artificial intelligence and education to centre the reader, equipping them with insight into the future of these technologies.

Creative Commons Attribution-NonCommercial (CC BY-NC)

This work is licensed under a CC BY-NC license, permitting sharing and adaptation for non-commercial purposes with proper attribution.

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Ransom, J., & Whittle, R. (02/04/2025). Universities and ai: developing new models of teaching and learning in the realm of radical uncertainty. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/universities-and-ai-developing-new-models-of-teaching-and-learning-in-the-realm-of-radical-uncertainty/ License: Creative Commons Attribution-NonCommercial (CC BY-NC).

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