What is it about?

This literature review focuses on how ChatGPT can be used to generate multiple-choice questions (MCQs) for medical education. It explores the effectiveness and validity of these AI-generated questions by examining existing evidence in the literature. The goal is to assess whether ChatGPT can reliably produce high-quality MCQs that meet educational standards and whether these questions are comparable to those created by human experts.

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Why is it important?

This review is important because multiple-choice questions (MCQs) are a key tool in medical education for assessing students' knowledge and clinical reasoning skills. Creating high-quality MCQs traditionally requires significant expertise and time, often involving experienced educators. If ChatGPT or similar AI tools can generate valid and reliable MCQs, it could greatly enhance the efficiency and accessibility of educational resources, helping to standardize assessments and reduce the workload on educators. Additionally, understanding the validity of AI-generated questions is crucial to ensure that they accurately test the knowledge and skills required for medical practice, maintaining the high standards needed in medical education.

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This page is a summary of: ChatGPT prompts for generating multiple-choice questions in medical education and evidence on their validity: a literature review, Postgraduate Medical Journal, June 2024, Oxford University Press (OUP),
DOI: 10.1093/postmj/qgae065.
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