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Generative Artificial Intelligence (AI) Education Policies of UK Universities

Atkinson-Toal, Aarron; Guo, Catherine

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Authors

Catherine Guo



Abstract

Generative artificial intelligence (AI) technologies are becoming integral to academic and professional landscapes, with universities rapidly developing policies that govern ethical and effective usage. Yet such efforts are fragmented across institutions, from outright blanket bans to bespoke frameworks supporting AI application. Seeking to offer evidence of this fragmented approach, this study conducts a systematic content analysis of AI policies of UK Russell Group universities, with specific focus on learning and teaching. The analysis reveals differences in policy comprehensiveness, enforcement mechanisms, and educational initiatives, demonstrating varied institutional priorities and approaches. This includes widespread methods of integrating the technology within the learning experience or academic integrity governance strategies. Findings also indicate that while some universities have robust frameworks promoting AI literacy and ethical usage, others provide minimal guidelines, reflecting disparate levels of readiness and commitment to integrating AI into the curriculum. This study underscores the importance of clear, comprehensive policies in fostering equal access and ethical use of AI among students whilst supporting AI literacy. Recommendations include adopting uniform policy elements across institutions to standardise AI usage norms and enhance student preparedness for an AI-driven future. This research contributes to the discourse on educational policy development, emphasising the need for adaptive and forward-thinking strategies in higher education to address AI learning requirements.

Citation

Atkinson-Toal, A., & Guo, C. (2024). Generative Artificial Intelligence (AI) Education Policies of UK Universities. Enhancing Teaching and Learning in Higher Education, 2, 70-94. https://doi.org/10.62512/etlhe.20

Journal Article Type Article
Acceptance Date Oct 5, 2024
Online Publication Date Nov 12, 2024
Publication Date Nov 12, 2024
Deposit Date Oct 9, 2024
Publicly Available Date Nov 15, 2024
Journal Enhancing Teaching and Learning in Higher Education
Peer Reviewed Peer Reviewed
Volume 2
Pages 70-94
DOI https://doi.org/10.62512/etlhe.20
Keywords AI policy; Higher education; AI in education; Curriculum development; Teaching innovation; AI literacy; Educational inequality
Public URL https://durham-repository.worktribe.com/output/2951439
This output contributes to the following UN Sustainable Development Goals:

SDG 4 - Quality Education

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

SDG 10 - Reduced Inequalities

Reduce inequality within and among countries

SDG 16 - Peace, Justice and strong institutions

Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

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