Comparing AI-generated and traditional textbook multiple-choice questions in nursing education: A prompt engineering-based Delphi study
Generative AI offers efficiency and diversity in nursing test design, reducing expert reliance. However, limitations include low difficulty, weak reasoning, and flawed distractors. Human review and iterative prompting are recommended to optimize complex scenarios and enhance AI's role in nursing education.
Authors
- H.J. Li (ORCID: https://orcid.org/0000-0002-0833-7295)
- Chuang Li (ORCID: https://orcid.org/0009-0005-6968-5305)
- Youbei Lin
Institutions
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Medical Teacher
- Published
- 2025-07-20
- DOI
- https://doi.org/10.1080/0142159x.2025.2533401
- Citations
- 5
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 5.82