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 ›› 2025, Vol. 22 ›› Issue (8): 943-948.doi: 10.3761/j.issn.1672-9234.2025.08.008

• 课程·教材·教法 • 上一篇    下一篇

内科护理学课程知识图谱的构建及应用研究

罗媛慧(), 毛婷, 李娟, 刘莉, 丁金锋, 黄晓婷, 张静平(), 郭佳   

  1. 410013 长沙市 中南大学湘雅护理学院
  • 收稿日期:2025-04-14 出版日期:2025-08-15 发布日期:2025-08-14
  • 通讯作者: 张静平
  • 作者简介:罗媛慧，女，博士，副教授，E-mail：yuanhui3@csu.edu.cn
  • 基金资助:
    2024年中南大学教育教学改革研究项目(2024jy184-2)

Construction and application of knowledge graph for Internal Medicine Nursing course

LUO Yuanhui(), MAO Ting, LI Juan, LIU Li, DING Jinfeng, HUANG Xiaoting, ZHANG Jingping(), GUO Jia   

  • Received:2025-04-14 Online:2025-08-15 Published:2025-08-14
  • Contact: ZHANG Jingping

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摘要：

目的 构建内科护理学课程知识图谱，并探究其在本科护理专业学生中的应用效果。 方法 通过本体构建、知识抽取、知识融合、知识存储与可视化构建内科护理学课程知识图谱；2024年9月—2025年1月，将其初步应用于83名大学三年级护理本科生的内科护理学课程教学中。教学结束后，评估学生的自主参与率、知识点完成率和掌握率；以知识点完成率80%为界值，将学生分为完成度高组和完成度低组，比较两组的课程成绩。通过焦点小组访谈了解学生的知识图谱初步应用感受与建议。 结果 构建的内科护理学课程知识图谱共包含知识点1 668个，融合教学视频70个、自测题364道。学生自主参与率为60.24%，知识点完成率与掌握率的中位数依次为47.10%、30.55%。从完成度低组（n=62）中选取与完成度高组（n=21）在前序课程成绩、一般资料情况上相匹配的学生21名，完成度高组内科护理学课程成绩高于来自完成度低组的21名学生[（77.35±8.94）分比（70.08±12.22）分，t=2.201，P=0.034]。从对23名学生（完成度高组11名和完成度低组12名）访谈资料中提炼出从参与中获益、阻碍参与的因素、知识图谱及其平台亟待改进3个主题。 结论 内科护理学课程知识图谱可在一定程度上提升学生的学习效果，但仍需基于人工智能等技术对其进行进一步优化，以构建基于课程知识图谱的精准化学习模式。

关键词: 教育, 护理, 内科护理学, 知识图谱, 人工智能, 精准化学习

Abstract:

Objective To construct a knowledge graph for the Internal Medicine Nursing course and explore its preliminary application effects among undergraduate nursing students. Methods The knowledge graph was developed through ontology construction，knowledge extraction，knowledge fusion，knowledge storage and visualization. From September 2024 to January 2025，it was initially applied to the Internal Medicine Nursing course for 83 third-year undergraduate nursing students. Post-implementation，students’ autonomous participation rates，knowledge point completion rates，and mastery rates were evaluated. Using an 80% knowledge point completion rate as the threshold，students were divided into high-completion and low-completion groups. Course performance was compared between these groups，and focus group interviews were conducted to gather students’ perceptions and suggestions regarding the knowledge graphs. Results The constructed knowledge graph encompassed 1 668 knowledge points，70 integrated teaching videos，and 364 self-test questions. The autonomous participation rate，and mean values for students’ knowledge point completion rate and mastery rate were 60.24%，45.27%，and 30.34%，respectively. After matching 21 students from the low-completion group（n=62） with the high-completion group（n=21） based on prior course performance and basic characteristics，the high-completion group scored significantly higher than the 21 students from the low-completion group in Internal Medicine Nursing[（77.35±8.94） vs. （70.08±12.22） points，t=2.201，P=0.034]. Interviews with 23 students（11 high-completion and 12 low-completion） revealed three themes：benefits gained from participation，factors hindering participation，and urgent improvements needed for the knowledge graph and its platform. Conclusion The knowledge graph of Internal Medicine Nursing course can improve students’ learning effect to a certain extent，but it still needs to be further optimized and improved based on artificial intelligence and other technologies to develop a precise learning model grounded in course knowledge graph.

Key words: Education, Nursing, Internal medicine nursing, Knowledge graph, Artificial intelligence, Precision learning