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With Generative AI tools now firmly part of how students learn, questions of academic integrity have never been more pressing. This isn’t just about identifying misconduct – it’s about building the skills and confidence to make fair, consistent decisions. How do we distinguish legitimate use from inappropriate reliance on AI? What guidance is available when concerns arise?
The “AI & Academic Misconduct” module was developed by the Appeals, Complaints & Conduct Office to support colleagues in understanding how student misuse of Artificial Intelligence may constitute poor academic practice or academic misconduct in different circumstances. It draws on real case data to provide examples of inappropriate use, explain Queen Mary’s policy, and provide guidance on how to investigate concerns. It is particularly relevant for academic misconduct officers and module organisers, but it is a valuable resource for anyone interested in understanding this kind of misconduct.
Explore the outline, work through the scenarios, and strengthen your confidence in handling AI-related cases: AI & Academic Misconduct
Read Haylee’s previous article on the Digital Education Studio newsletter: Rethinking Academic Integrity in the Age of AI