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基于多模态知识图谱的“数据结构与算法”课程思政教学改革与实践

Reform and Practice of Ideological and Political Education in the “Data Structures and Algorithms” Course Based on a Multimodal Knowledge Graph

朱江, 邹娟, 王求真, 曾小英, 文磊

Education Study / 2026,8(8): 916-923 / 2026-08-14 10 3

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• Information:

  湘潭大学计算机学院，湘潭

• Keywords:
  Multimodal knowledge graph; Data Structures and Algorithms; Ideological and political education in courses; Educational data mining; Personalized learning
  多模态知识图谱; 数据结构与算法; 课程思政; 教育数据挖掘; 个性化学习
• Abstract: By exploring and constructing an organic integration between a multimodal knowledge graph and ideological and political education in the “Data Structures and Algorithms” course, this study takes the collaborative advancement of ideological education and professional education as the core approach and integrates ideological and political elements throughout the entire teaching process. Starting from various stages, including pre-class preparation, in-class instruction, and post-class evaluation, the study combines the course knowledge graph with ideological and political education content, enriches teaching resources, and implements them across different teaching phases. Consequently, a new personalized and collaborative teaching model is developed. 通过探索和构建多模态知识图谱和“数据结构与算法”课程思政的有机结合，以思政教育与专业教育协同推进为主线，在教学全过程中融入思想政治教育内容。从教学前、教学中、教学后等各环节着手，将课程知识图谱与课程思政的内容融合，充实教学资源，并在教学的各个阶段中落实，构建个性化和协作型的新型教学模式。
• DOI: 10.35534/es.0808160 (registering DOI)
• Cite: 朱江，邹娟，王求真，等．基于多模态知识图谱的“数据结构与算法”课程思政教学改革与实践［J］．教育研讨，2026，8（8）：916-923．