创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (8): 151-153.

• 创新方法 • 上一篇    下一篇

AI技术赋能护理教学的实践研究

赵金平   

  1. 辽源职业技术学院 护理学院,吉林辽源 136200
  • 出版日期:2026-04-25 发布日期:2026-06-30
  • 作者简介:赵金平(1981—),女,吉林辽源人,硕士研究生,研究方向:基础护理教育与老年护理教育。
  • 基金资助:
    吉林省2025年度职业教育与成人教育教学改革研究课题“AI赋能下混合式教学在基础护理技术课程中的应用效果研究”(2025ZCY194); 2025年吉林省高教学会高教科研课题“基于AI语音交互的养老护理服务情境式教学模式创新与实践”(JGJX25D1397)

Practical Research on the Empowerment of Nursing Teaching by AI Technology

ZHAO Jinping   

  1. School of Nursing, Liaoyuan Vocational Technical College, Liaoyuan Jilin, 136200, China
  • Online:2026-04-25 Published:2026-06-30

摘要: 为探索AI技术与混合式教学的融合路径在基础护理技术课程中的应用价值,该文以2025级护理专业4个自然班共144名学生为样本,将其中2个班级(73名)设为实验组,采用AI技术赋能混合式教学模式;另2个班级(71名)设为对照组,沿用传统课堂教学模式,通过对比两组学生的理论掌握程度、操作技能水平、批判性思维发展及自主学习能力等指标,分析该教学模式的实践效果。结果显示:实验组理论考核得分为(84.78±6.872)分、操作技能评分为(86.75±6.422)分,均显著高于对照组的(75.77±8.644)分和(78.37±7.241)分;同时,实验组评判性思维量表得分为(280.14±58.982)分、自主学习能力量表得分为(81.64±21.583)分,也优于对照组的(217.44±39.826)分和(67.56±12.345)分,上述差异经统计学检验均具有显著性(P<0.05)。研究表明:AI技术赋能的混合式教学能够有效适配基础护理技术的课程特性,既强化了学生的知识与技能习得,也促进了其核心职业能力的养成,可为护理教育的智能化改革提供可推广的实践范式。

关键词: AI技术嵌入, 混合式教学, 基础护理, 护理教学, 教学改革, 职业能力

Abstract: To explore the application value of integrating AI technology with blended teaching methods in the context of a basic nursing technology course, this study was conducted with 144 students from four natural classes of the nursing program in the 2025 cohort. Two of these classes (73 students) were designated as the experimental group and adopted an AI technology enhanced blended teaching model, while the other two classes (71 students) served as the control group and continued with traditional classroom teaching methods. The study analyzed the practical effects of this teaching model by comparing the students'scores in terms of theoretical knowledge, operational skills, critical thinking development, and autonomous learning abilities. The results showed that the experimental group's theoretical examination scores (84.78±6.872), operational skill ratings (86.75±6.422) were significantly higher than those of the control group (75.77±8.644, 78.37±7.241). Additionally, the experimental group's scores on the critical thinking scale (280.14±58.982) and autonomous learning scale (81.64±21.583) were also superior to those of the control group (217.44±39.826, 67.56±12.345). These differences were statistically significant (P<0.05). The study demonstrates that AI technology enhanced blended teaching is effective in adapting to the characteristics of a basic nursing technology course, enhancing students'acquisition of knowledge and skills while fostering the development of their core professional competencies. This approach offers a replicable model for the intelligent reform of nursing education.

Key words: AI technology integration, Hybrid teaching methods, Basic nursing care, Nursing education, Teaching reform, Vocational competence

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