Not worth doing: Why students outsource course work to AI?
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Universities have responded to generative AI by trying to catch students. My research argues that this is the wrong contest, and an unwinnable one. Rather than asking how students cheat, I intereviewed fellow HKU undergraduates how and why they use AI in their coursework.
Key findings of my 12 semi-structured interviews include reasons why students hand their work to models and their perceptions of most and least AI-resistant assessment. However, the most startling outcome was that assessments get handed to AI when they stop feeling worth doing - for instance, when there are too many assignments stacked in one class, or when a task demanded full effort for a small share of the overall course grade.
Hi~ My name is Galiya, I'm from Kazakhstan, currently based in Hong Kong. Love learning about different cultures and languages, so if you want to connect and discuss literally anything, hit me up on DMs :D
Briefly about my interests and achievements:
I am interested in AI ethics and learning science and have built a track record at the intersection of education and AI.
My experience spans teaching, admissions consulting, and content creation in international environments across Kazakhstan, South Korea, Italy, and Hong Kong. I am particularly interested in improving access to global education and how AI is reshaping the traditional forms of education.
Currently, I am developing research through the Laidlaw Scholars Programme, focusing on university-level assessment methods in the context of GenAI.
