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 (9): 1086-1092.doi: 10.3761/j.issn.1672-9234.2026.09.010

• 思政教育与素质教育 • 上一篇    下一篇

护理专业本科生生成式人工智能素养现状及影响因素研究

于万慧(), 孙海娅, 刘娅, 张雪辉, 张莉莉, 陈玉荷, 吕淑棋, 刘佳敏, 刘冰*()   

  1. 济宁医学院护理学院 山东省 济宁市 272067
  • 收稿日期:2026-05-07 出版日期:2026-09-15 发布日期:2026-09-15
  • 通讯作者: *刘冰，E-mail：jerry9966@126.com
  • 作者简介:于万慧：女，硕士，助教，E-mail：1169350268@qq.com
    第一联系人：

    研究构思与设计为于万慧、张雪辉、刘娅，数据收集与处理为陈玉荷、吕淑棋、刘佳敏，论文撰写为于万慧，英文修订为刘娅、张莉莉，论文修改和审校为刘冰、孙海娅。

Current situation and influencing factors of generative artificial intelligence literacy among undergraduate nursing students

YU Wanhui(), SUN Haiya, LIU Ya, ZHANG Xuehui, ZHANG Lili, CHEN Yuhe, LÜ Shuqi, LIU Jiamin, LIU Bing*()   

  1. College of Nursing， Jining Medical University， Jining 272067，Shandong Province， China
  • Received:2026-05-07 Online:2026-09-15 Published:2026-09-15
  • Contact: *LIU Bing，E-mail：jerry9966@126.com

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摘要：

目的 探究护理专业本科生生成式人工智能（Generative Artificial Intelligence，GenAI）素养水平及其影响因素。 方法 采用横断面调查法。便利选取山东省3所高校的537名护理专业本科生作为调查对象，使用一般资料调查表和大学生GenAI素养量表对其进行调查。 结果 护理专业本科生GenAI素养总得分为（132.57±23.50）分，条目均分为（3.49±0.62）分，各维度按条目均分从高到低依次为GenAI意识觉醒、GenAI伦理认知、GenAI思维塑造、GenAI技能发展、GenAI知识建构。多元线性回归分析结果显示，家庭所在地为城镇、最近一学期成绩排名越靠前、参加过护理专业相关人工智能课程/培训、过去半年使用GenAI的频率越高、有参加科研项目的经历、喜欢使用GenAI工具的程度越高的护理专业本科生GenAI素养水平越高（均P<0.05），6个影响因素共解释护理专业本科生GenAI素养水平32.9%的变异度。 结论 护理专业本科生GenAI素养处于中等偏上水平，家庭环境、学校教育支持及个人使用态度等是影响其GenAI素养水平的因素。建议高校提升对护理专业本科生GenAI素养的重视程度，聚焦重点人群，从知识建构等方面入手，提升其GenAI素养水平及适配智能时代的能力。

关键词: 护理专业本科生, 生成式人工智能素养, 影响因素, 横断面研究

Abstract:

Objective To explore the current status and associated influencing factors of generative artificial intelligence（GenAI） literacy among undergraduate nursing students. Methods A cross-sectional survey design was adopted. A total of 537 undergraduate nursing students from three universities in Shandong Province were recruited by convenience sampling. Data were collected using a general demographic questionnaire and the Generative Artificial Intelligence Literacy Scale for College Students. Results The total GenAI literacy score of undergraduate nursing students was 132.57±23.50，with an average item score of 3.49±0.62. The average score of items in each dimension from high to low was as follows：GenAI consciousness awakening，GenAI ethical cognition，GenAI thinking shaping，GenAI skill development and GenAI knowledge construction. Multiple linear regression analysis revealed that undergraduate nursing students with urban household registration，higher academic ranking in the latest semester，previous participation in artificial intelligence（AI） courses or training，higher frequency of GenAI use in the past six months，research project experience，and greater preference for GenAI tools achieved significantly higher GenAI literacy levels（all P<0.05）. These six influencing factors jointly explained 32.9% of the variance in GenAI literacy among the participants. Conclusion The GenAI literacy of undergraduate nursing students is at an upper-middle level. Household background，university educational resources，and individual attitudes toward GenAI act as core influencing factors. Colleges and universities are recommended to cultivate GenAI literacy among nursing undergraduates，focus on key student groups，and reinforce training focusing on knowledge construction，so as to enhance their GenAI literacy and capabilities suitable for the intelligent era.

Key words: Undergraduate Nursing Students, Generative Artificial Intelligence Literacy, Influencing Factors, Cross-Sectional Study