Abstract
Can Chat Generative Pre-Trained Transformer or “ChatGPT” and other Large Language Models (LLMs) be used to create challenging and creative assignments for undergraduate students? This article explores the use of ChatGPT as an interview proxy for students. Drawing inspiration from the medical community’s concept of the simulated patient, ChatGPT was employed to act as an imagined proxy for a figure from the world of sports. Students in an undergraduate “Politics of Sport” course conducted interviews with the ChatGPT proxy using questions derived from peer-reviewed academic research. The assignment had two main objectives: to challenge students to engage meaningfully with academic research and apply it to real-world situations by simulating real-world conditions and to help students consider the limitations of ChatGPT when handling real-world scenarios. Despite some issues that arose during the module, student feedback and coursework indicated that this approach was engaging, fun, and creative for students. It is suggested that this method could be effectively applied across various academic disciplines.
Original language | English |
---|---|
Article number | 8 |
Pages (from-to) | 1-8 |
Number of pages | 8 |
Journal | Proceedings |
Volume | 114 |
Issue number | 1 |
Early online date | 18 Mar 2025 |
DOIs | |
Publication status | Published (in print/issue) - 18 Mar 2025 |
Event | Online Workshop on Adaptive Education: Harnessing AI for Academic Progress - Belfast, United Kingdom Duration: 12 Apr 2024 → 12 Apr 2024 |
Bibliographical note
© 2025 by the author. Licensee MDPI, Basel, Switzerland.Data Access Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.Keywords
- Large language models
- ChatGPT
- proxy; simulated patient
- undergraduate
- assignments
- proxy
- simulated patient
- large language models