基于知识图谱的土木工程施工课程教学改革研究

Teaching Reform of the “Civil Engineering Construction” Course Driven by AI and Knowledge Graphs in Application-Oriented Universities

摘要: 随着科技与产业的深度融合，土木工程行业正经历从传统模式向智能化、绿色化、数字化转型的关键阶段。在这一背景下，《土木工程施工》课程教学存在教学内容陈旧、教学方法单一、线上学习缺乏个性化、考核评价体系不完善、实践教学资源匮乏、思政元素融入不足以及教师数字化能力不足等七大问题。本研究以AI与知识图谱为核心驱动，通过重构课程目标，动态更新教学内容，引入智能教学工具，优化评价方式和强化实践能力培养等路径进行课程综合改革，系统破解教学困境。改革构建了“以行业需求为锚点、以知识图谱为引擎、以能力画像为标尺”的新型教学范式，为应用型本科新工科课程建设提供思考。

Abstract: With the deep integration of technology and industry, the civil engineering sector is undergoing a critical transformation from traditional practices toward intelligent, eco-friendly, and digital paradigms. Against this backdrop, the course “Civil Engineering Construction” faces seven major issues: outdated teaching content, monotonous pedagogical approaches, lack of personalization in online learning, inadequate assessment mechanisms, insufficient practical teaching resources, underdeveloped integration of ideological-political elements, and limited digital literacy among instructors. Driven by artificial intelligence and knowledge graphs, this study implements comprehensive curricular reforms through reconstructing learning objectives, dynamically updating content, incorporating intelligent teaching tools, optimizing evaluation methods, and strengthening practical competency development. The reform establishes a novel pedagogical framework “anchored in industry demands, powered by knowledge graphs, and measured by competency profiling”, providing references for developing application-oriented emerging engineering disciplines at insufficient institutions.