创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (1): 52-54.

• 教学革新 • 上一篇    下一篇

知识图谱赋能高等数学课程改革研究

宣国龙   

  1. 哈尔滨剑桥学院,黑龙江哈尔滨 150069
  • 出版日期:2026-01-10 发布日期:2026-06-30
  • 作者简介:宣国龙(1984—),男,黑龙江哈尔滨人,硕士研究生,讲师,研究方向:计算数学。
  • 基金资助:
    黑龙江省教育厅“基于数字化背景下项目式教学模式的改革与创新”(SJGYB2024812);黑龙江省教育科学规划领导小组“数字化教育背景下基于知识图谱的新形态高等数学课程建设研究与实践”(GJB1424346)

Research on the Reform of Higher Mathematics Curriculum Empowered by Knowledge Graph

XUAN Guolong   

  1. Harbin Cambridge University, Harbin Heilongjiang, 150069, China
  • Online:2026-01-10 Published:2026-06-30

摘要: 知识图谱技术在高等数学教学改革中具有重要价值,其通过构建数学概念语义网络,将抽象数学知识转化为可视化结构,揭示知识点间的内在联系。实践表明:知识图谱赋能教学模式创新,提升了教学效果,增强了学生对多元函数微分法与重积分等核心知识的理解;基于知识图谱技术构建智能化教学环境,实现个性化学习路径指导,形成了系统化课程改革方案。教学实践探索发现:知识图谱支持的教学质量监控体系能够有效促进教学过程优化,推动高等数学教学质量整体提升。

关键词: 知识图谱, 高等数学, 教学改革, 智能教学, 个性化学习, 教学质量

Abstract: Knowledge graph technology has significant value in the reform of higher mathematics teaching, it constructs a semantic network of mathematical concepts, transforming abstract mathematical knowledge into visual structures and revealing the inherent connections between knowledge points. Practice has shown that knowledge graphs empower innovative teaching models to improve teaching effectiveness and enhance students'understanding of core knowledge such as multivariate function differentiation and double integration. Building an intelligent teaching environment based on knowledge graph technology, achieving personalized learning path guidance, and forming a systematic curriculum reform plan. Exploration of teaching practice has found that the teaching quality monitoring system supported by knowledge graphs effectively promotes the optimization of the teaching process and overall improvement of the quality of higher mathematics teaching.

Key words: Knowledge graph, Advanced mathematics, Teaching reform, Intelligent teaching, Personalized learning, Teaching quality

中图分类号: