中华医学教育杂志 ›› 2025, Vol. 45 ›› Issue (4): 288-292.DOI: 10.3760/cma.j.cn115259-20240122-00080

• 课程改革与建设 • 上一篇    下一篇

基于数字化知识图谱的医学信息素质课程教学改革研究

方雅青1, 朱丽娜1, 胡慧美1, 吴海华2   

  1. 1杭州医学院公共卫生学院,杭州 310000;
    2杭州医学院药学院、食品科学与工程学院,杭州 310000
  • 收稿日期:2024-01-22 出版日期:2025-04-01 发布日期:2025-03-31
  • 通讯作者: 吴海华, Email: wuhaihua@hmc.edu.cn
  • 基金资助:
    浙江省高等教育十四五教学改革项目(jg20220662);浙江省课程思政示范课程建设项目(00004D2KC202204);浙江省线上一流课程建设项目(504);浙江省线上线下混合一流课程建设项目(551)

Research on teaching reform of medical information literacy course based on digital knowledge graph

Fang Yaqing1, Zhu Lina1, Hu Huimei1, Wu Haihua2   

  1. 1 School of Public Health, Hangzhou Medical College, Hangzhou 310000, China;
    2 School of Pharmacy, Food Science and Engineering, Hangzhou Medical College, Hangzhou 310000, China
  • Received:2024-01-22 Online:2025-04-01 Published:2025-03-31
  • Contact: Wu Haihua, Email: wuhaihua@hmc.edu.cn
  • Supported by:
    The 14th Five Year Plan Teaching Reform Project of Higher Education in Zhejiang Province (jg20220662); Zhejiang Province Curriculum Ideological and Political Demonstration Course (00004D2KC202204); Zhejiang Province's Online Firstclass Course (504); Zhejiang Province's Online and Offline Mixed First class Course (551)

摘要: 数字化知识图谱是以人工智能为支撑的知识网络联合体,更是体现胜任力导向的教学革新,它将各个知识点有机地联系起来,形成一个完整的、多维度的知识网络,提升课程教学效果和教学效率。为进一步提升学生利用信息解决实际问题的能力,杭州医学院公共卫生学院于2023年开始在医学信息检索与利用课程中引入数字化知识图谱,开展数字化教学改革,包括建设数字化知识图谱、构建数字化教学模式、开展数字化教学考核等;同时,在学生的实际学习活动中不断优化和更新知识图谱,引导学生将知识点整合为系统性的知识结构,为学生提供更加高效、精准的知识路径。教学反馈结果显示,2022级291名学生的课程学习满意度为97.6%(284/291),数字化知识图谱能够充分激发学生独立思考与融会贯通的能力,实现综合信息素质培养的提升。

关键词: 教学, 数字化知识图谱, 医学信息检索与利用, 信息素质

Abstract: The digital knowledge graph is an artificial intelligence-powered integrated knowledge network and a manifestation of competency-oriented pedagogical innovation. It organically connects various knowledge points to form a comprehensive, multidimensional knowledge framework, thereby enhancing teaching effectiveness and efficiency. To further improve students' ability to utilize information in solving practical problems, the School of Public Health at Hangzhou Medical College implemented digital knowledge graphs in its Medical Information Retrieval and Utilization course starting in 2023. This educational reform initiative includes three key components: developing digital knowledge graphs, establishing digital teaching models, and implementing digital assessment methods. Concurrently, the knowledge graph undergoes continuous optimization through students' learning activities, guiding learners to synthesize fragmented knowledge into systematic structures while providing efficient, targeted knowledge pathways. Post-course evaluations revealed a 97.6% satisfaction rate (284/291) among 291 class of 2022 students. The digital knowledge graph demonstrated significant efficacy in stimulating independent thinking and interdisciplinary integration, effectively advancing comprehensive information literacy cultivation.

Key words: Teaching, Digital knowledge graph, Medical information retrieval and utilization, Information literacy

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