The strengths, weaknesses, opportunities, and threats of generative artificial intelligence: a qualitative study of undergraduate nursing students
Undergraduate nursing students regard generative AI as a double-edged sword-its strengths in boosting learning efficiency, broadening knowledge access and simulating clinical decisions are offset by ethical, technological and equity challenges. Nursing education must therefore strengthen technical guidance, ethics training and resource optimization to maximize its strengths and opportunities while minimizing its weaknesses and threats.
Authors
- Lin Leng (ORCID: https://orcid.org/0000-0002-0605-358X)
- Deguang Han (ORCID: https://orcid.org/0000-0003-1104-4714)
- Xinyang Hu (ORCID: https://orcid.org/0009-0009-4490-6043)
- Rujun Hu
- Jing Fu (ORCID: https://orcid.org/0000-0001-5616-8791)
- Xia Zhang (ORCID: https://orcid.org/0000-0003-1449-6847)
- Wei Xiaoman
- Youzhu Yuan (ORCID: https://orcid.org/0000-0003-1668-9984)
- Liang Yu (ORCID: https://orcid.org/0009-0007-2590-5649)
- Qian Luo (ORCID: https://orcid.org/0000-0003-4501-5831)
- Zhang Wen (ORCID: https://orcid.org/0000-0002-7400-0391)
Institutions
- Zunyi Medical University (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-09-04
- DOI
- https://doi.org/10.3389/fpubh.2025.1672140
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62
Funders
- Recruitment Program of Global Experts
- Division of Undergraduate Education