Evidence record 9842 · automatically gathered

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

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 remains unclear, particularly in high-stakes exams. OBJECTIVE: This study aimed to evaluate the quality and psychometric properties of ChatGPT-4o-generated MCQs compared to human-created MCQs in a high-stakes me

Record details

Published: 8 February 2025
Source: OpenAlex
Category: Research
Topics: Healthcare · Children & education
Retrieved: 14 July 2026

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ethics.ai (8 February 2025), “AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination,” evidence record 9842, https://ethics.ai/record/9842 (originally published by OpenAlex).

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