UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

The Future of Learning or The Future of Dividing? Exploring the Impact of General Artificial Intelligence on Higher Education

Wong, Wilson; Aristidou, Angela; Scheuermann, Konstantin; (2025) The Future of Learning or The Future of Dividing? Exploring the Impact of General Artificial Intelligence on Higher Education. Data & Policy , 7 , Article e44. 10.1017/dap.2025.10011. Green open access

[thumbnail of Aristidou_the-future-of-learning-or-the-future-of-dividing-exploring-the-impact-of-generative-artificial-intelligence-on-higher-education.pdf]
Preview
Text
Aristidou_the-future-of-learning-or-the-future-of-dividing-exploring-the-impact-of-generative-artificial-intelligence-on-higher-education.pdf

Download (576kB) | Preview

Abstract

This article examines the impact of generative artificial intelligence (GAI) on higher education, emphasizing its effects in the broader educational contexts. As AI continues to reshape the landscape of teaching and learning, it is imperative for higher education institutions to adapt rapidly to equip graduates for the challenges of a progressively automated global workforce. However, a critical question emerges: will GAI lead to a more inclusive future of learning, or will it deepen existing divides and create a future where educational access and success are increasingly unequal? This study employs both theoretical and empirical approaches to explore the transformative potential of GAI. Drawing upon the literature on AI and education, we establish a framework that categorizes the essential knowledge and skills needed by graduates in the GAI era. This framework includes four key capability sets: AI ethics, AI literacy (focusing on human-replacement technologies), human–AI collaboration (emphasizing human augmentation), and human-distinctive capacities (highlighting unique human intelligence). Our empirical analysis involves scrutinizing GAI policy documents and the core curricula mandated for all graduates across leading Asian universities. Contrary to expectations of a uniform AI-driven educational transformation, our findings expose significant disparities in AI readiness and implementation among these institutions. These disparities, shaped by national and institutional specifics, are likely to exacerbate existing inequalities in educational outcomes, leading to divergent futures for individuals and universities alike in the age of GAI. Thus, this article not only maps the current landscape but also forecasts the widening educational gaps that GAI might engender.

Type: Article
Title: The Future of Learning or The Future of Dividing? Exploring the Impact of General Artificial Intelligence on Higher Education
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/dap.2025.10011
Publisher version: http://dx.doi.org/10.1017/dap.2025.10011
Language: English
Additional information: Creative Commons Creative Common License - CCCreative Common License - BY This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. Copyright © The Author(s), 2025. Published by Cambridge University Press
Keywords: Artificial Intelligence, GenAI, governance, Higher Education, institutional theory, policy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management
URI: https://discovery.ucl.ac.uk/id/eprint/10208798
Downloads since deposit
2Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item