eISSN 2097-6054 ISSN 1672-9234 CN 11-5289/R
Responsible Institution:China Association for Science and Technology
Publishing:Chinese Nursing Journals Publishing House Co.,Ltd.
Sponsor:Chinese Nursing Association
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Chinese Journal of Nursing Education ›› 2026, Vol. 23 ›› Issue (6): 704-712.

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Artificial intelligence applications in undergraduate nursing education:a scoping review

CAO Caiyi(), LIU Xinyuan, WU Liping*(), XIE Wan, LU Hong, HAN Shuai, ZHANG Weichun   

  1. School of NursingChinese Academy of Medical Sciences & Peking Union Medical CollegeBejing 100144, China
  • Received:2025-12-07 Online:2026-06-15 Published:2026-06-18
  • Contact: *WU Liping,E-mail : lipingwu@nursing.pumc.edu.cn E-mail:18810073097@163.com;lipingwu@nursing.pumc.edu.cn
  • Supported by:
    Peking Union Medical College Special Fund for Education and Teaching Reform of Central Universities(2025bkjg045)

Abstract:

Objective To conduct a scoping review on the application scenarios,teaching functions,and effectiveness of artificial intelligence(AI) in undergraduate nursing education. Methods Following the scoping review framework proposed by Arksey and O’Malley,a systematic search was conducted in PubMed,CINAHL,Embase,Web of Science,CNKI,Wanfang,and VIP databases for studies involving the application of AI in undergraduate nursing education from database inception to September 28,2025. Two researchers independently performed literature screening,data extraction,and thematic analysis of the included studies. Results A total of 26 articles were included. The application scenarios of AI in undergraduate nursing education were primarily concentrated on classroom teaching and self-directed learning,with learning evaluation being the least explored area. The educational functions of AI encompassed generative scenarios and skill training,intelligent tutoring and personalized guidance,learning evaluation and feedback,teaching content generation and presentation,as well as comprehensive support and general-purpose tools,often embedded in teaching processes in combined forms. The application effects were uneven:while AI demonstrated clear value in knowledge retention,skill training,and enhancing AI literacy,its effectiveness in cultivating deeper competencies such as ethical decision-making and empathy was limited,and its use may be accompanied by anxiety or dependency risks. Conclusion AI is deeply integrated into undergraduate nursing education,achieving certain application results in its application within this field,yet it still faces challenges and difficulties. Future research should further explore human-AI collaborative teaching design and the construction of a systematic AI literacy and ethics education framework.

Key words: Artificial Intelligence, Education, Nursing, Undergraduate, Teaching, Scoping Review