Embracing the future: Integrating ChatGPT into China’s nursing education system
Open accessAbstract
This article delves into the role of ChatGPT within the rapidly evolving field of artificial intelligence, especially highlighting its significant potential in nursing education. Initially, the paper presents the notable advancements ChatGPT has achieved in facilitating interactive learning and providing real-time feedback, along with the academic community's growing interest in this technology. Subsequently, summarizing the research outcomes of ChatGPT's applications in nursing education, including various clinical disciplines and scenarios, showcases the enormous potential for multidisciplinary education and addressing clinical issues. Comparing the performance of several Large Language Models (LLMs) on China's National Nursing Licensure Examination, we observed that ChatGPT demonstrated a higher accuracy rate than its counterparts, providing a solid theoretical foundation for its application in Chinese nursing education and clinical settings. Educational institutions should establish a targeted and effective regulatory framework to leverage ChatGPT in localized nursing education while assuming corresponding responsibilities. Through standardized training for users and adjustments to existing educational assessment methods aimed at preventing potential misuse and abuse, the full potential of ChatGPT as an innovative auxiliary tool in China's nursing education system can be realized, aligning with the developmental needs of modern teaching methodologies.
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Despite China's leadership in AI innovation, vulnerabilities in interaction practices within nursing education remain insufficiently understood.
“Despite China’s leadership in AI innovation, vulnerabilities in interaction practices within nursing education remain insufficiently understood [40, 44].”
From From adoption to interaction: examining human-GenAI engagement patterns, ethical tensions, and educational trade-offs in nursing education (2026) · cites this paper as [40]
The section “Optimizing ChatGPT for responsible use in nursing education” says oversight of ChatGPT use in Chinese institutions is insufficient and warns of student misuse. The Conclusion calls for further study of ChatGPT’s long-term impact. Neither passage establishes China’s leadership in AI innovation or specifically says that vulnerabilities in interaction practices remain insufficiently understood; page numbers were not provided. (LLM, conf=0.82)
Experimental — accuracy not yet measuredEmpirical research has primarily examined DeepSeek's technical performance, with limited attention to how students interact with the system in real learning contexts.
“empirical research has primarily examined its technical performance, with limited attention to how students interact with the system in real learning contexts [40, 50–52].”
From From adoption to interaction: examining human-GenAI engagement patterns, ethical tensions, and educational trade-offs in nursing education (2026) · cites this paper as [40]
The Feasibility study of ChatGPT application in nursing education in mainland China (page unavailable) tests ChatGPT and other models on nursing-exam questions, supporting the narrower point that this paper examines technical performance. It does not study DeepSeek or establish that empirical research on DeepSeek has primarily focused on performance while neglecting students’ interactions in real learning contexts. (LLM, conf=0.82)
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- Authors
- Ni, Z., Peng, R., Zheng, X., & Xie, P.
- Affiliations
- Yangzhou University (CN)
- First Affiliated Hospital of Jinan University (CN)
- Northern Jiangsu People's Hospital (CN)
- Corresponding author
- Xie, Ping
- Venue
- International Journal of Nursing Sciences
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 11
- Issue
- 2
- Pages
- 295-299
- ISSN
- 2096-6296 (ISSN-L)
- 2352-0132
- PMC
- PMC11064564
- OpenAlex
- W4392545600
- Cited by
- 35
- References
- 41
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 5
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- International Journal of Nursing Sciences (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Yangzhou Science and Technology Bureau
- American Heart Association
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- ChatGPT, large language models, nursing education, artificial intelligence in education, interactive learning, real-time feedback, nursing licensure examination preparation, China
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