GPT-4 generated answer rationales to multiple choice assessment questions in undergraduate medical education

GPT-4 为本科医学教育中的多项选择题评估问题生成答案解析

阅读:1

Abstract

BACKGROUND: Pre-clerkship medical students benefit from practice questions that provide rationales for answer choices. Creating these rationales is a time-intensive endeavor. Therefore, not all practice multiple choice questions (MCQ) have corresponding explanations to aid learning. The authors examined artificial intelligence's (AI) potential to create high-quality answer rationales for clinical vignette-style MCQs. METHODS: The authors conducted a single-center pre-post intervention survey study in August 2023 assessing 8 pre-clerkship course director (CD) attitudes towards GPT-4 generated answer rationales to clinical vignette style MCQs. Ten MCQs from each course's question bank were selected and input into GPT-4 with instructions to select the best answer and generate rationales for each answer choice. CDs were provided their unmodified GPT-4 interactions to assess the accuracy, clarity, appropriateness, and likelihood of implementation of the rationales. CDs were asked about time spent reviewing and making necessary modifications, satisfaction, and receptiveness in using GPT-4 for this purpose. RESULTS: GPT-4 correctly answered 75/80 (93.8%) questions on the first attempt. CDs were receptive to using GPT-4 for rationale generation and all were satisfied with the generated rationales. CDs determined that the majority of rationales were very accurate (77.5%), very clear (83.8%) and very appropriate (93.8%). Most rationales could be implemented with little or no modification (88.3%). All CDs would implement AI-generated answer rationales with CD editorial insights. Most CDs (75%) took ≤ 4 min to review a set of generated rationales for a question. CONCLUSION: GPT-4 is an acceptable and feasible tool for generating accurate, clear and appropriate answer rationales for MCQs in medical education. Future studies should examine students' feedback to generated rationales and further explore generating rationales for question with media. The authors plan to explore the implementation of this technological application at their medical school, including logistics and training to create a streamlined process that benefits both learners and educators. CLINICAL TRIAL: Not applicable; not a clinical trial.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。