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Embracing the future: Integrating ChatGPT into China’s nursing education system

Authors :
Zhengxin Ni
Rui Peng
Xiaofei Zheng
Ping Xie
Source :
International Journal of Nursing Sciences, Vol 11, Iss 2, Pp 295-299 (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

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.

Details

Language :
English
ISSN :
23520132
Volume :
11
Issue :
2
Database :
Directory of Open Access Journals
Journal :
International Journal of Nursing Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.4bf867e222864d5c9626bdb4456a68bc
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijnss.2024.03.006