Title: Generative AI, Contract Cheating and the Hierarchies of Academic Malpractice
Abstract: Generative AI tools such as Chat GPT are enormously powerful resources that can enhance the practice of teaching, learning and assessment. But students and staff are also having to learn how GenAI changes the landscape of academic malpractice. There are concerns about AI misuse by students, including presenting AI-generated material as their own work.
In this seminar, Professor Dan Rigby will present results from a study of 500 UK and Australian University students on their perceptions of different uses of AI. The study investigated the factors which most deter students from submitting work that is wholly/largely AI-generated and compared this with their attitudes toward submitting purchased assignments (Contract Cheating). It identified three latent groups within the sample which differ strongly in terms of the importance they attach to (i) ethics and integrity, (ii) risk and penalty and (iii) efficacy. The results provide insights on where students locate several AI-related practices in relation to other forms of assessment practice, and which behaviours they judge to be (in)consistent with academic integrity.
Presenter: Professor Dan Rigby, University of Manchester
Dan Rigby is a Professor of Economics at the University of Manchester and an Adjunct Professor at the University of Western Australia. Much of his research uses choice experiments to understand preferences and values. He has undertaken research in the UK and Australia on student demand for assignments provided by commercial providers (‘contract cheating’). His current work concerns how generative AI is changing students’ academic (mal)practice.
Please email melbourne-cshe@unimelb.edu.au if you require additional requirements (e.g. accessibility).
