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

中华护理教育 ›› 2026, Vol. 23 ›› Issue (8): 964-970.doi: 10.3761/j.issn.1672-9234.2026.08.010

• 课程·教材·教法 • 上一篇    下一篇

人工智能焦虑量表在护理专业学生中应用的信效度检验

王文颖1(), 袁佩佩2, 潘圆圆3, 赵雪旸4,*()   

  1. 1 郑州大学第一附属医院护理部 郑州市 450052
    2 郑州大学第一临床医学院 郑州市 450052
    3 郑州大学第一附属医院神经外科 郑州市 450052
    4 郑州大学第一附属医院口腔科 郑州市 450052
  • 收稿日期:2026-05-08 出版日期:2026-08-15 发布日期:2026-08-14
  • 通讯作者: *赵雪旸，E-mail：zxyett@126.com
  • 作者简介:王文颖：女，硕士，副主任护师，E-mail：511629417@qq.com
    第一联系人：

    研究构思与设计：王文颖、袁佩佩、赵雪旸，数据收集与处理：袁佩佩、潘圆圆、赵雪旸，论文撰写：王文颖、赵雪旸，英文修订：王文颖，论文修改和审校：王文颖、潘圆圆、赵雪旸。

  • 基金资助:
    中华医学会医学教育分会和全国医学教育发展中心医学教育研究课题项目(2025B350)

Testing the reliability and validity of the Artificial Intelligence Anxiety Scale among nursing students

WANG Wenying1(), YUAN Peipei2, PAN Yuanyuan3, ZHAO Xueyang4,*()   

  1. 1 Department of Nursing， the First Affiliated Hospital of Zhengzhou University， Zhengzhou 450052， China
    2 the First Clinical School of Zhengzhou University， Zhengzhou 450052， China
    3 Department of Neurosurgery， the First Affiliated Hospital of Zhengzhou University， Zhengzhou 450052， China
    4 Department of Stomatology， the First Affiliated Hospital of Zhengzhou University， Zhengzhou 450052， China
  • Received:2026-05-08 Online:2026-08-15 Published:2026-08-14
  • Contact: *ZHAO Xueyang，E-mail：zxyett@126.com
  • Supported by:
    Medical Education Research Project Sponsored by the Branch of Medical Education，Chinese Medical Association and National Center for Medical Education Development(2025B350)

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摘要：

目的 检验中文版人工智能焦虑量表（Artificial Intelligence Anxiety Scale，AIAS）在护理专业学生中的信效度，为评估护理专业学生对人工智能的焦虑水平提供有效工具。方法 遵循Brislin翻译模型对英文版AIAS进行正译、回译，经调适和预调查，形成中文版AIAS。于2025年12月—2026年2月，采用便利抽样法，选取河南省4所本科院校的656名护理专业学生作为调查对象，采用一般资料调查表、中文版AIAS对其进行调查，并从中随机抽取50名学生，于其初次接受调查2周后，再次对其进行调查，以检验中文版AIAS的信效度。结果 中文版AIAS包括学习焦虑、工作替代焦虑、社会技术盲从焦虑和人工智能配置焦虑4个维度，共21个条目。量表水平的内容效度指数为0.952，条目水平的内容效度指数为0.833~1.000。经探索性因子分析提取4个公因子，累计方差贡献率为67.457%。验证性因子分析结果显示，模型拟合良好[χ2/df=1.106，比较拟合指数（CFI）=0.994，非规准适配指数（TLI）=0.993，近似误差均方根（RMSEA）=0.019，标准化均方根残差（SRMR）=0.022]。量表总的Cronbach’s α系数为0.769，各维度的Cronbach’s α系数为0.836~0.911。量表重测信度系数为0.878。结论 中文版AIAS具有良好的信效度，可作为护理专业学生人工智能焦虑水平的有效评估工具。

关键词: 人工智能, 焦虑, 护理专业学生, 量表, 信度, 效度

Abstract:

Objective To translate and revise the Artificial Intelligence Anxiety Scale（AIAS） into Chinese and test its reliability and validity among nursing students，so as to provide a valid tool for assessing the level of anxiety towards artificial intelligence among nursing students. Methods The English version AIAS was forward-translated and back-translated following the Brislin translation model. After adaptation and a pilot survey，the Chinese version of the AIAS was developed. From December 2025 to February 2026，a convenience sampling method was adopted to recruit 656 nursing students from four undergraduate colleges in Henan Province as participants. They were assessed using a general demographic questionnaire and the Chinese version of the AIAS and 50 students were randomly invited for retest two weeks after the first survey to evaluate the scale’s reliability and validity. Results The Chinese version of the AIAS consists of four dimensions，namely learning anxiety，job replacement anxiety，sociotechnical blindness anxiety，and artificial intelligence configuration anxiety，with a total of 21 items. The scale-level content validity index（S-CVI） was 0.952，and the item-level content validity index（I-CVI） ranged from 0.833 to 1.000. Exploratory factor analysis extracted four common factors，which accounted for 67.457% of the cumulative variance. Confirmatory factor analysis indicated a good model fit（χ2/df=1.106，CFI=0.994，TLI=0.993，RMSEA=0.019，SRMR=0.022）. The Cronbach’s α coefficient of the overall scale was 0.769，and the Cronbach’s α coefficients for each dimension ranged from 0.836 to 0.911. The test-retest reliability coefficient was 0.878. Conclusion The Chinese version of AIAS demonstrates satisfactory reliability and validity. It can serve as an effective assessment tool for measuring the level of artificial intelligence anxiety among nursing students in China.

Key words: Artificial Intelligence, Anxiety, Nursing Students, Scale, Reliability, Validity