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<p>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.</p>

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Development of a Universal Prompt as a Scalable Generative AI-Assisted Tool for USMLE Step 1 Style Multiple-Choice Question Refinement in Medical Education

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月25日

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  • Youngjin Cho,
  • Grace L. Park,
  • Gabi N. Waite,
  • Abhijay Mudigonda,
  • John L. Szarek

摘要

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.