Abstract
With the improved abilities of large language models (LLMs) and their growing use in teaching and learning, the issue has naturally arisen of whether they could be used to grade assessments. There are different ethical concerns when thinking of replacing a teacher with a machine for such a crucial step for students, but many only matter if a primary question has been positively answered: are LLMs now ‘smart’ enough to grade?
In this presentation, I will report on several experiments to possibly tackle the previous question. I will focus on reflective diaries and grades I assigned to them, and rely on successive AI approaches, from simpler to more advanced ones. Each time, I will quantify the distance between my grades and AI-based ones, in the hope of designing a solid methodological framework. I will conclude with a broader discussion on the topic of AI-assisted grading and its different facets.
About the Speaker
Christophe Coupé is an Associate Professor in the Department of Linguistics at HKU. His research and teaching revolve around the use of natural language processing (especially generative AI), machine learning and data science to study languages, animal communication and literature. He’s currently the Director of the Bachelor of Arts in Humanities and Digital Technologies.
Seminar Details
Title: Experimenting with AI-based Grading
Date: May 4, 2026 (Monday)
Time: 12:30 pm – 2:00 pm (HKT)
Language: English
Venue: Arts Tech Lab (Room 4.35), 4/F, RRST, HKU
For more details and to register, please visit:
https://hku.au1.qualtrics.com/jfe/form/SV_6DMjhJD5w0RQzR4
This event is hosted by the HKU Arts Tech Lab.
For enquiries, please contact atlask@hku.hk