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Treading water: new data on the impact of AI ethics information sessions in classics and ancient language pedagogy

Ross, E. A. S. ORCID: https://orcid.org/0000-0003-4174-835X and Baines, J. (2024) Treading water: new data on the impact of AI ethics information sessions in classics and ancient language pedagogy. Journal of Classics Teaching. ISSN 2058-6310

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To link to this item DOI: 10.1017/S2058631024000412

Abstract/Summary

Over 2023, many universities and policy organisations in the higher education (HE) sector are working to create guiding principles and guidelines for the use of generative artificial intelligence (AI) in HE Teaching and Learning (T&L). Despite these guidelines, students remain unsure if and how they should use AI. This article discusses the AI information sessions held over the Autumn 2023 term in the Department of Classics at the University of Reading, which aimed to provide students with the knowledge and tools to make informed judgements about using AI in their studies. These sessions discussed the benefits and drawbacks of generative AI, highlighting training data, content policy, environmental impact, and examples of potential uses. Staff and student participants were surveyed before and after these information sessions to gather their opinions surrounding AI use. Although at least 60% of participants had previously used generative AI, 80% of participants were apprehensive of or against using generative AI tools for learning purposes following the AI information sessions. By providing staff and students with the ethical considerations surrounding generative AI, they can make an informed judgement about using AI in their work without misplaced faith or excessive fear.

Item Type:Article
Refereed:Yes
Divisions:Arts, Humanities and Social Science > School of Humanities > Classics
ID Code:116664
Publisher:Cambridge University Press

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