Cho Youngjin, Park Grace L, Waite Gabi N, Mudigonda Abhijay, Szarek John L
Department of Medical Education, Geisinger Commonwealth School of Medicine, Geisinger College of Health Sciences, Scranton, PA USA.
Department of Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL USA.
Med Sci Educ. 2025 Feb 25;35(2):611-613. doi: 10.1007/s40670-025-02334-7. eCollection 2025 Apr.
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.
The online version contains supplementary material available at 10.1007/s40670-025-02334-7.
我们开发了一种生成式人工智能（genAI）辅助工具，使学习者能够获得与学习目标一致的多项选择题的反馈、进行修订并克隆这些题目。该工具最初设计为定制GPT，我们将其改编为通用提示，以实现与平台无关的公平访问。这一创新体现了由教学法驱动的易于适应的genAI增强学习。
在线版本包含可在10.1007/s40670-025-02334-7获取的补充材料。
