Development of a Universal Prompt as a Scalable Generative AI-Assisted Tool for USMLE Step 1 Style Multiple-Choice Question Refinement in Medical Education.
Youngjin Cho, Grace L Park, Gabi N Waite, Abhijay Mudigonda, John L Szarek
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引用次数: 0
Abstract
We developed a generative artificial intelligence (genAI)-assisted tool enabling learners to receive feedback on, revise, and clone multiple-choice questions aligned with learning objectives. Initially designed as a custom GPT, we adapted it to a universal prompt for platform-agnostic, equitable access. This innovation exemplifies readily adaptable genAI-enhanced learning driven by pedagogy.
Supplementary information: The online version contains supplementary material available at 10.1007/s40670-025-02334-7.
期刊介绍:
Medical Science Educator is the successor of the journal JIAMSE. It is the peer-reviewed publication of the International Association of Medical Science Educators (IAMSE). The Journal offers all who teach in healthcare the most current information to succeed in their task by publishing scholarly activities, opinions, and resources in medical science education. Published articles focus on teaching the sciences fundamental to modern medicine and health, and include basic science education, clinical teaching, and the use of modern education technologies. The Journal provides the readership a better understanding of teaching and learning techniques in order to advance medical science education.