ISSN 2097-6054(网络) ISSN 1672-9234(印刷) CN 11-5289/R
主管:中国科学技术协会 主办:中华护理学会
出版:中华护理杂志社
收录:中国科学引文数据库(CSCD)来源期刊
   中国期刊全文数据库
   中国核心期刊(遴选)数据库
   Scopus

中华护理教育 ›› 2026, Vol. 23 ›› Issue (5): 627-633.doi: 10.3761/j.issn.1672-9234.2026.05.018

• 综述 • 上一篇    下一篇

人工智能辅助教学模式下护理教师角色重塑的范围综述

徐召召(), 韩瑜, 李雪颖, 李颖菊, 尹作娟*()   

  1. 山东第一医科大学附属省立医院呼吸与危重症医学科 济南市 250021
  • 收稿日期:2025-12-08 出版日期:2026-05-15 发布日期:2026-05-14
  • 通讯作者: 尹作娟,E-mail:juanyz8686@163.com
  • 作者简介:徐召召:女,硕士,护士,E-mail:Xvzhaozhao@163.com
    第一联系人:

    徐召召:负责提出研究思路,设计研究方案,研究命题的提出、设计,论文撰写;李雪颖、李颖菊:负责数据收集、采集、清洗;韩瑜:负责完善论文细节;尹作娟:负责最终版本修订。

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

摘要:

目的 系统梳理人工智能(artificial intelligence,AI)作为协作体在护理教育中的应用现状,分析其对护理教师角色重塑的驱动维度、实践路径及效果评价,为构建人机协同教学提供参考。方法 以范围综述框架为指导,系统检索中国知网、万方、维普、SinoMed、PubMed、Web of Science、Embase、CINAHL及Cochrane Library等数据库,检索时限为建库至2025年10月31日。检索策略采用主题词与自由词相结合的方式。结果 提炼出AI背景下护理教师角色重塑的四大核心维度:职能重塑(由教学设计者转型为学习体验设计师)、关系重塑(由师生二元关系演变为教师-人工智能-学生三元关系)、能力重塑(由数字素养进阶为AI工具整合能力)、身份认同重塑(由知识权威者拓展为伦理守护者);并总结关键促进与阻碍因素。结论 AI正驱动护理教师角色发生系统性变化。未来需构建相应的胜任力框架、发展性评价体系及前瞻性伦理规范,以支持教育者在人机协同新生态中持续发展。

关键词: 人工智能, 协作, 护理教育, 角色重塑, 范围综述

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