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“知识图谱+大模型”赋能《Python数据分析及应用》课程教学模式创新

Innovative Teaching Mode of "Python Data Analysis and Application" Course Driven by "Knowledge Graphs + Large Models"

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【作者】 王平水陈涛王泽成

【Author】 Wang Pingshui;Chen Tao;Wang Zecheng;School of Computer and Information Engineering,Anhui University of Finance and Economics;

【机构】 安徽财经大学计算机与信息工程学院

【摘要】 随着人工智能技术的快速发展,知识图谱与大模型的深度融合为高等教育模式创新提供了新路径。本文以课程《Python数据分析及应用》为研究对象,针对传统教学模式中知识体系分散、学习路径固定、实践场景单一等问题,提出"知识图谱驱动知识体系构建+大模型赋能动态交互"的双轮驱动教学模式。该模式通过知识图谱结构化课程知识网络,结合大模型的生成与推理能力,实现教学资源智能化重组、学习路径个性化推荐以及实践场景动态化生成。实证研究表明,该模式显著提升了学生的数据分析与应用能力,学生的创新思维和跨学科素养得到了有效培养,课程的教学效果得到了显著改善,课程的社会影响力进一步提升。"知识图谱+大模型"双轮驱动模式能够有效解决传统教学的局限性,推动课程教学向智能化、个性化与动态化方向转型,该模式不仅适用于《Python数据分析及应用》课程,也为相关课程的教学改革提供了可借鉴的范式,对人工智能时代的高等教育创新具有重要参考价值。

【Abstract】 With the rapid development of artificial intelligence technology,the deep integration of knowledge graphs and large language models has provided a new path for the innovation of higher education models.This paper takes the course "Python Data Analysis and Application" as the research object and,in response to the problems of scattered knowledge systems,fixed learning paths,and single practical scenarios in traditional teaching models,proposes a dualwheel-driven teaching model of "knowledge graphs-driven knowledge system construction + large language modelsempowered dynamic interaction".This model structures the course knowledge network through knowledge graphs and combines the generation and reasoning capabilities of large models to achieve intelligent reorganization of teaching resources,personalized recommendation of learning paths,and dynamic generation of practical scenarios.Empirical research shows that this model significantly improves students’ data analysis and application abilities,effectively cultivates their innovative thinking and interdisciplinary literacy,significantly improves the teaching effect of the course,and further enhances the social influence of the course.The "knowledge graph + large model" dual-wheel-driven model can effectively solve the limitations of traditional teaching,promoting the transformation of course teaching towards intelligence,personalization,and dynamism.This model is not only applicable to the "Python Data Analysis and Application" course but also provides a reference model for the teaching reform of related courses,and has important reference value for the innovation of higher education in the era of artificial intelligence.

【基金】 安徽省教育厅省级质量工程项目(2023jcjs062);安徽财经大学教学研究重点项目(acjyzd2024001)资助
  • 【会议录名称】 2025年中国高校计算机教育大会(CCEC2025)论文集
  • 【会议名称】2025年中国高校计算机教育大会(CCEC2025)
  • 【会议时间】2025-07-11
  • 【会议地点】中国宁夏银川
  • 【分类号】G642;TP312.1-4
  • 【主办单位】全国高等学校计算机教育研究会、中国计算机学会
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