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 (2): 158-164.doi: 10.3761/j.issn.1672-9234.2026.02.005

• 专题策划——人工智能赋能护理教育 • 上一篇    下一篇

人工智能素养评估工具的研究进展及护理启示

张金满(), 王琪, 刘茜, 邹会静, 杨冰香*()   

  1. 武汉大学护理学院 武汉市 430071
  • 收稿日期:2025-09-16 出版日期:2026-02-15 发布日期:2026-02-11
  • 通讯作者: * 杨冰香,E-mail:yangbx@whu.edu.cn
  • 作者简介:张金满:女,本科(硕士在读),E-mail:2025283070028@whu.edu.cn
  • 基金资助:
    2025年武汉大学本科综改项目(智能助教建设项目)

Research progress of artificial intelligence literacy assessment tools and implications for nursing

ZHANG Jinman(), WANG Qi, LIU Qian, ZOU Huijing, YANG Bingxiang*()   

  1. School of Nursing,Wuhan University,Wuhan 430071,China
  • Received:2025-09-16 Online:2026-02-15 Published:2026-02-11
  • Contact: * YANG Bingxiang,E-mail:yangbx@whu.edu.cn
  • Supported by:
    2025 Wuhan University Undergraduate Education Reform Project (Smart Teaching Assistant Construction Project)

摘要:

人工智能技术在医疗健康和教育领域广泛应用,人工智能素养是影响其应用效果的关键因素。该文系统梳理了国内外人工智能素养评估工具的研究进展,概述了人工智能素养的核心内涵与维度框架,将11种代表性评估工具分为普适性工具、学生群体工具、教师群体工具和特定人工智能应用人群工具4类,并进行比较分析。同时,依据健康测量工具选择的共识标准对评估工具进行评价,发现现有工具在理论基础、维度框架、测量方式、方法学质量及其测量学属性方面存在差异,各有优势和局限。基于此,从临床实践、护理教育和科研3个层面提出启示,为护理人员科学测量相关人群的人工智能素养提供参考。

关键词: 人工智能, 健康素养, 评估工具, 质量评价, 综述

Abstract:

With the widespread application of artificial intelligence(AI) technology in healthcare and education,AI literacy has become a key factor influencing its effectiveness. This study systematically reviewed the development of AI literacy assessment tools,summarized the core concepts and dimensional framework of AI literacy,and categorized 11 representative tools into four groups:general-purpose tools,student-focused tools,teacher-focused tools,and technology-specific tools. Simultaneously,these assessment tools were evaluated based on the Consensus-based Standards for the Selection of Health Measurement Instruments(COSMIN). Existing tools exhibited differences in theoretical foundations,dimensional frameworks,measurement methods,methodological quality,and measurement properties,each with their own strengths and limitations. Based on these findings,this study offers implications for clinical practice,nursing education,and research to guide the accurate assessment of AI literacy in relevant populations.

Key words: Artificial Intelligence, Health Literacy, Assessment Tool, Quality Assessment, Review