动态知识图谱驱动的高等数学教学改革研究
DOI:
https://doi.org/10.6938/iie.070405Abstract
高等数学作为高校基础课程，知识体系庞大且逻辑严密，学生在学习过程中常出现认知断层与理解路径不连贯的问题，亟需有效的教学支持机制。本文基于动态知识图谱技术，构建了涵盖知识点拆解、图谱结构建模与动态更新的高等数学知识图谱框架。设计了包括知识掌握水平、学习路径连贯性及学习行为特征的多维教学评价体系，实现对学生认知过程的动态监测与结构化分析。研究表明，动态知识图谱能够揭示课程知识的内在关联，支持个性化学习路径推荐与教学资源的智能推送，显著提升教学的针对性和有效性。该研究为高等数学教学的结构化、个性化和智能化改革提供了理论基础与实践。
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