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
Source journal for Chinese Science Citation Database
China Academic Journals Full-text Database
China Core Journal Alternative Database
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Chinese Journal of Nursing Education ›› 2026, Vol. 23 ›› Issue (5): 627-633.doi: 10.3761/j.issn.1672-9234.2026.05.018

• Review • Previous Articles     Next Articles

A scoping review of the role transformation of nursing faculty in the AI collaboration mode

XU Zhaozhao(), HAN Yu, LI Xueying, LI Yingju, YIN Zuojuan*()   

  1. Department of Respiratory and Critical Care Medicine, Provincial Hospital Affiliated to Shandong First Medical University, Ji ’nan 250021, China
  • Received:2025-12-08 Online:2026-05-15 Published:2026-05-14
  • Contact: YIN Zuojuan,E-mail:juanyz8686@163.com

Abstract:

Objective To systematically summarize the current applications of artificial intelligence(AI) as a collaborator in nursing education, examine the driving dimensions,practical pathways,and effectiveness evaluations of its impact on the role transformation of nursing faculty,and provide an evidence base for constructing a new paradigm of human-AI collaborative teaching. Methods Guided by the scoping review framework,a systematic search was conducted across major Chinese and English databases. Results Four core dimensions of role transformation were identified:functional transformation (from instructional designer to learning experience designer);relational transformation(from the teacher-student dyad to a human-AI-student triad);competency transformation (from digital literacy to AI tool integration capability);and identity transformation(from knowledge authority to ethical guardian). Key facilitating and hindering factors were also summarized. Conclusion AI is driving a fundamental and systemic transformation in the roles of nursing faculty. Future efforts should focus on developing corresponding competency frameworks,developmental evaluation systems,and forward-looking ethical guidelines to support educators’ continuous professional growth within the emerging human-AI collaborative ecosystem.

Key words: Artificial Intelligence, Collaboration, Nursing Education, Role Transformation, Scoping Review