创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (16): 175-177.

• 创新方法 • 上一篇    下一篇

知识图谱在统计学课程群建设中的应用研究

刘春婷   

  1. 西安财经大学行知学院,陕西西安 710038
  • 出版日期:2025-08-25 发布日期:2025-11-18
  • 作者简介:刘春婷(1993—),女,河南孟州人,硕士研究生,助教,研究方向:大数据统计分析。
  • 基金资助:
    西安财经大学行知学院2024年校级课题“知识图谱在统计学课程群建设中的应用研究”(24JY10); 陕西省2023年教育科学规划课题“大数据时代基于OBE理念的‘概率论与数理统计’课程教学改革与实践”(SGH23Y2702)

Research on the Application of Knowledge Graph in the Construction of Statistics Course Group

LIU Chunting   

  1. Xingzhi College, Xi'an University of Finance and Economics, Xi'an Shaanxi, 710038, China
  • Online:2025-08-25 Published:2025-11-18

摘要: 在大数据和人工智能快速发展的背景下,知识图谱在很多领域发挥着重要的作用,也被广泛应用到课程建设中。统计学是数据处理和分析的核心学科,该文以统计学课程为中心,以致力培养金融大数据人才为目标的数据科学与大数据技术专业为研究对象,围绕相关课程,结合专业培养特色建立课程群,从知识图谱、能力图谱和学情图谱3个方面探究知识图谱在统计学课程群建设中的应用。

关键词: 知识提取, 统计学, 课程群, 知识图谱, 能力图谱, 学情图谱

Abstract: Against the backdrop of rapid development of big data and artificial intelligence, knowledge graphs play an important role in many fields and are widely applied in curriculum construction. Statistics is the core discipline of data processing and analysis. This article focuses on the statistics course and the data science and big data technology major, which aims to cultivate financial big data talents. Around relevant courses and combined with professional training characteristics, a course group is established to explore the application of knowledge graph in the construction of statistics course group from three aspects: knowledge graph, ability graph, and learning situation graph.

Key words: Knowledge extraction, Statistics, Course group, Knowledge graph, Capability map, Learning situation map

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