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

Authors :
Stadler, M
Horrer, A
Fischer, MR
Stadler, M
Horrer, A
Fischer, MR
Source :
GMS Journal for Medical Education; VOL: 41; DOC20 /20240415/
Publication Year :
2024

Abstract

As medical educators grapple with the consistent demand for high-quality 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.

Details

Database :
OAIster
Journal :
GMS Journal for Medical Education; VOL: 41; DOC20 /20240415/
Notes :
GMS Journal for Medical Education; VOL: 41; DOC20 /20240415, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1455866048
Document Type :
Electronic Resource