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): 1065-1072.doi: 10.3761/j.issn.1672-9234.2026.09.007

• 课程·教材·教法 • 上一篇    下一篇

本科外科护理学智慧课程建设及教学成效研究

刘鑫鑫1(), 赵学荣1, 覃芹丹1, 范晶晶1, 王梦瑶1, 李芳2, 胡阳3, 颜萍1,*()   

  1. 1 新疆医科大学护理学院 乌鲁木齐市 830017
    2 新疆医科大学第一附属医院护理部 乌鲁木齐市 830013
    3 新疆医科大学第一附属医院泌尿外科 乌鲁木齐市 830013
  • 收稿日期:2026-05-23 出版日期:2026-09-15 发布日期:2026-09-15
  • 通讯作者: *颜萍，E-mail：1852325304@qq.com
  • 作者简介:刘鑫鑫：女，硕士，讲师，E-mail：1483072465@qq.com
    第一联系人：

    研究构思与设计为颜萍、刘鑫鑫、赵学荣；数据收集与处理为覃芹丹、范晶晶、王梦瑶；课程实施为颜萍、刘鑫鑫、赵学荣、覃芹丹、范晶晶、李芳、胡阳；论文撰写、修改和审校为颜萍、刘鑫鑫。

  • 基金资助:
    新疆医科大学教育研究与教学改革项目(YG2024066)

Construction and teaching practice of intelligent Surgical Nursing Courses empowered by artificial intelligence

LIU Xinxin1(), ZHAO Xuerong1, QIN Qindan1, FAN Jingjing1, WANG Mengyao1, LI Fang2, HU Yang3, YAN Ping1,*()   

  1. 1 School of Nursing， Xinjiang Medical University， Urumqi 830017， China
    2 Nursing Department， the First Affiliated Hospital of Xinjiang Medical University， Urumqi 830013， China
    3 Department of Urology， the First Affiliated Hospital of Xinjiang Medical University， Urumqi 830013， China
  • Received:2026-05-23 Online:2026-09-15 Published:2026-09-15
  • Contact: *YAN Ping，E-mail：1852325304@qq.com
  • Supported by:
    Educational Research and Teaching Reform Project of Xinjiang Medical University(YG2024066)

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摘要：

目的 探讨人工智能（artificial intelligence，AI）赋能的外科护理学智慧课程的建设路径与教学成效。 方法 通过明确教学目标—整合教学内容、设计教学实施与评价—建设教学资源，开发AI赋能（融入知识图谱、问题图谱、AI助教、AI智能体及AI实践任务）的外科护理学智慧课程。便利选取新疆某医学本科院校护理学专业2022级188名学生为对照组，2023级336名学生为试验组。在外科护理学课程中，对照组接受传统混合式教学，试验组接受智慧课程教学。通过比较两组课程成绩、课程前后的临床推理与反思能力得分，评价课程改革效果。 结果 试验组过程性考核、终结性考核及综合成绩均优于对照组（P<0.05）；课程后的临床推理与反思能力总得分高于对照组（P<0.001）。 结论 AI赋能的外科护理学智慧课程教学能有效打通理论与临床实践的转化通道，提升学生学业成绩水平、临床推理与反思能力，值得推广。

关键词: 人工智能, 外科护理学, 智慧课程, 临床推理与反思能力

Abstract:

Objective To explore the construction pathway and teaching effects of an intelligent Surgical Nursing course empowered by artificial intelligence（AI）. Methods The AI-empowered intelligent Surgical Nursing course was developed by clarifying teaching objectives；integrating teaching contents，designing teaching implementation and evaluation systems；developing teaching resources. Multiple AI modules were integrated into the course，including knowledge graphs，question graphs，AI teaching assistants，AI agents，and AI-based practical assignments. A total of 188 nursing students of the 2022 cohort from a Xinjiang medical university were assigned to the control group receiving conventional blended teaching，while 336 nursing students of the 2023 cohort were enrolled as the experimental group taught with the intelligent course. The effects of course reform were assessed by comparing course scores as well as pre-and post-course scores of clinical reasoning and reflective competency between the two groups. Results The experimental group achieved significantly higher scores in formative assessment，summative assessment and overall comprehensive performance than the control group（all P<0.05）. Moreover，the total post-course score of clinical reasoning and reflective ability in the experimental group was statistically superior（P<0.001）. Conclusion The AI-empowered intelligent Surgical Nursing course can effectively facilitate the transformation from theoretical knowledge to clinical practice，improve students’ academic performance as well as their clinical reasoning and reflective capabilities，which is worthy of widespread application and promotion.

Key words: Artificial Intelligence, Surgical Nursing, Intelligent Course, Clinical Reasoning and Reflective Capabilities