How vulnerable are UK universities to cheating with new GenAI tools? A pragmatic risk assessment
Year: 2025
Type: article
Study design: Observational Study
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.
Author: Philip M. Newton
Institution: Swansea University
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4411330859