Answering patterns in SBA items: students, GPT3.5, and Gemini

Answering patterns in SBA items: students, GPT3.5, and Gemini

While large language models (LLMs) are often used to generate and answer exam questions, limited work compares their performance across multiple iterations using item statistics. This study aims to fill that gap by investigating answering patterns of how LLMs respond to single-best answer (SBA) ques...

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Bibliographic Details
Main Authors: Ng, Olivia, Phua, Dong Haur, Chu, Jowe, Wilding, Lucy V. E., Mogali, Sreenivasulu Reddy, Cleland, Jennifer
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2025
Subjects:
Medicine, Health and Life Sciences
Assessments
ChatGPT
Online Access:https://hdl.handle.net/10356/181959

Internet

https://hdl.handle.net/10356/181959

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