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How vulnerable are UK universities to cheating with new GenAI tools? A pragmatic risk assessment

Phil Newton Orcid Logo

Assessment & Evaluation in Higher Education, Pages: 1 - 12

Swansea University Author: Phil Newton Orcid Logo

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Abstract

There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to eva...

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Published in: Assessment & Evaluation in Higher Education
ISSN: 0260-2938 1469-297X
Published: Informa UK Limited 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69576
Abstract: There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to evaluate that risk. Most students surveyed were using GenAI, and almost all were frequently assessed using methods that are vulnerable to cheating with GenAI (unsupervised online examinations, and essays). An estimated 22% of them reported cheating in academic year 2023/24 and almost all were confident that they understood the policy of their university. However the activities that they report using GenAI for were not always clearly identifiable as cheating. These findings suggest an urgent need for the use of more appropriate forms of summative assessment in UK higher education, and clarity over the policies and definitions used to support those assessments.
Keywords: Artificial intelligence, assessment validity, academic integrity, cheating
College: Faculty of Medicine, Health and Life Sciences
Funders: Swansea University
Start Page: 1
End Page: 12