基于知识图谱的《采煤概论》课程内容动态更新机制构建与实践
Construction and Practice of Dynamic Update Mechanism for “Introduction to Coal Mining” Course Content Based on Knowledge Graph
摘要: 针对《采煤概论》传统课程内容更新滞后、知识体系碎片化、多专业适配效率低等问题,以建构主义学习理论、认知负荷理论为学理支撑,构建以知识图谱为核心载体的课程内容动态更新机制。通过搭建“层级结构–关系体系–属性标签”三位一体的知识图谱底层架构,明确知识抽取、标注与质量控制的完整技术路径,建立“需求采集–图谱迭代–内容生成–教学应用–反馈优化”五阶闭环更新流程与配套保障体系,实现内容的轻量化迭代与模块化重组。教学实践表明,该机制可有效提升内容更新效率与学生学习效果,可为矿业类课程数字化改革提供参考。
Abstract: To address the problems of lagging content update, fragmented knowledge system, and low adaptation efficiency for multiple majors in the traditional “Introduction to Coal Mining” course, this paper takes constructivist learning theory and cognitive load theory as theoretical support, and constructs a dynamic course content update mechanism with knowledge graph as the core carrier. By building a three-in-one underlying architecture of knowledge graph consisting of “hierarchical structure, relationship system and attribute labels”, and clarifying the complete technical path of knowledge extraction, annotation and quality control, this study establishes a five-stage closed-loop update process consisting of “demand collection, graph iteration, content generation, teaching application, and feedback optimization” together with a supporting guarantee system, so as to realize lightweight iteration and modular reorganization of course content. Teaching practice demonstrates that this mechanism can effectively improve content update efficiency and students’ learning outcomes, and provides a reference for the digital reform of mining-related courses.
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