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针对传统方法构建课程图谱自动化能力弱、开发成本高、模块耦合度松散等问题，本研究利用Deepseek+LangChain大模型开源框架构建多模态课程图谱。课程图谱将课程元素，如章、节、知识点依赖关系以图的形式进行组织。结合智能问答、知识追踪构建课程图谱价值逻辑，辅助进行课程资源建设及个性化资源推荐，从而提升开放教育的教学质量。
Abstract：In response to the problems of weak automation ability, high development cost, and loose module coupling in traditional methods of constructing curriculum graph, this paper uses Deepseek and the open source framework “LangChain” to construct a multi-model curriculum graph that organizes course elements, such as chapters, sections, and knowledge point dependency relationship graphs. Combining intelligent Q&A and knowledge tracking to construct a curriculum graph value logic to assist in curriculum resource construction and personalized resource recommendation, thereby improving the teaching quality of open education.
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基本信息:
DOI：
中图分类号:TP18;TP391.1;G434
引用信息:
[1]王磊,杨旺,韩泉叶.基于大模型构建开放教育多模态课程图谱及其价值逻辑研究[J].陕西开放大学学报,2025,27(01):18-23.
基金信息:
陕西省教育厅2023年度重点研究基地项目“远程教育背景下多模态知识跟踪机制研究”(项目编号：23JZ020)