Crafting medical MCQs with generative AI: A how-to guide on leveraging ChatGPT

被引:4
|
作者
Stadler, Matthias [1 ]
Horrer, Anna [1 ]
Fischer, Martin R. [1 ]
机构
[1] Ludwig Maximilians Univ Munchen, LMU Univ Hosp, Inst Med Educ, Pettenkoferstr 8a, D-80336 Munich, Germany
来源
GMS JOURNAL FOR MEDICAL EDUCATION | 2024年 / 41卷 / 02期
关键词
medical education; generative AI; ChatGPT; MCQ creation; prompt engineering;
D O I
10.3205/zma001675
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
As medical educators grapple with the consistent demand for highquality assessments, the integration of artificial intelligence presents a novel solution. This how-to article delves into the mechanics of employing ChatGPT for generating Multiple Choice Questions (MCQs) within the medical curriculum. Focusing on the intricacies of prompt engineering, we elucidate the steps and considerations imperative for achieving targeted, high-fidelity results. The article presents varying outcomes based on different prompt structures, highlighting the AI's adaptability in producing questions of distinct complexities. While emphasizing the transformative potential of ChatGPT, we also spotlight challenges, including the AI's occasional "hallucination", underscoring the importance of rigorous review. This guide aims to furnish educators with the know-how to integrate AI into their assessment creation process, heralding a new era in medical education tools.
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页数:5
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