AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination

AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination

Abstract Background The creation of high-quality multiple-choice questions (MCQs) is essential for medical education assessments but is resource-intensive and time-consuming when done by human experts. Large language models (LLMs) like ChatGPT-4o offer a promising alternative, but their efficacy rem...

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Bibliographic Details
Main Authors: Alex KK Law, Jerome So, Chun Tat Lui, Yu Fai Choi, Koon Ho Cheung, Kevin Kei-ching Hung, Colin Alexander Graham
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Education
Subjects:
Artificial intelligence
Educational measurement
Multiple choice questions
Medical education
Cognitive processes
Online Access:https://doi.org/10.1186/s12909-025-06796-6
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https://doi.org/10.1186/s12909-025-06796-6

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