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知识图谱助力学科教学——以大学模拟电子技术基础课程为例
引用本文:吴彦文,孙晨辉,李 斌.知识图谱助力学科教学——以大学模拟电子技术基础课程为例[J].教育技术导刊,2021,19(12):195-198.
作者姓名:吴彦文  孙晨辉  李 斌
作者单位:华中师范大学 物理科学与技术学院,湖北 武汉 430079
基金项目:国家自然科学基金重点项目(61937001)
摘    要:知识图谱和个性化推荐技术是教育研究热点。借助学科知识图谱和学习者画像进行学习资源个性化推荐,提出基于学科知识图谱的资源关联推荐方法。在此基础上选取A、B两个模拟电子技术基础课堂进行学习效果验证,实验数据表明,基于知识图谱的学习资源关联推荐模型能在一定程度上提升该课程学习效果。

关 键 词:知识图谱  学习资源推荐  知识体系  在线学习  模拟电子技术基础  
收稿时间:2020-04-12

Knowledge Graph to Aid Subject Teaching——A Case Study of Basic Analog Electronics Class in University
WU Yan-wen,SUN Chen-hui,LI Bin.Knowledge Graph to Aid Subject Teaching——A Case Study of Basic Analog Electronics Class in University[J].Introduction of Educational Technology,2021,19(12):195-198.
Authors:WU Yan-wen  SUN Chen-hui  LI Bin
Institution:College of Physical Science and Technology,Central China Normal University,Wuhan 430079,China
Abstract:In recent years, knowledge graph and personalized recommendation technology have been the focus of attention of educational researchers. How to make use of the dual advantages of knowledge graph and personalized recommendation technology to help learners build knowledge system and improve learning effect is the focus of this paper. This paper realizes the association analysis of knowledge elements through the construction of domain knowledge graph, and makes personalized recommendation of learning resources with the help of learner portrait analysis. It forms the association recommendation model of learning resources based on knowledge graph, which links learner-learning resources-knowledge elements. On this basis, two classes of “Analog Electronic Technology Foundation” (named A and B) are selected to verify the learning effect. The experimental data prove that the proposed learning resource association recommendation model based on knowledge graph can improve the learning effect of electro-analog to a certain extent.
Keywords:knowledge graph  resource recommendation  knowledge system  online learning  basic?analog?electronics  
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