基于知识图谱的环境学科课程优化与贯通式培养路径OA
Curriculum Optimization and Coherent Training Pathways for Environmental Disciplines Based on Knowledge Graph
[目的]针对环境学科本研贯通教学中内容重复、衔接断层、前沿缺席等结构性痛点,以及传统课程体系以单门课程为单位、缺乏整体结构设计的问题,本文提出一条基于知识图谱的课程体系优化路径,以实现课程整合、衔接增强与前沿嵌入,为拔尖创新人才培养提供结构化的课程组织支撑.[方法]首先,本文开展知识点抽取与结构化表达,以课程大纲、教材与课件等教学文本为数据源,在统一粒度与术语的前提下形成标准化课程知识元;其次,构建教学认知图谱并执行课程关联分析与冗余诊断,基于知识点相似度、共现关系与图谱结构特征识别"冗余区-断层区-关键节点";进而据此实施基于图谱的课程结构优化,通过课程群模块化、过渡微模块与"双碳/智慧水务/人工智能(AI)"等前沿节点的嵌入,重构"前置-并修-后续"的课程链.[结果]本文提出"知识图谱-能力递进-素养融合"的3层教学优化模式,实现从知识到能力到素养的三维贯通,并明确学生侧(学习导航与路径可达性)、教师侧(教学诊断与协同备课)、学院/学校侧(课程群治理与质量评估)的应用场景与可行性.[结论]本文聚焦方法论与流程,强调知识图谱在课程结构诊断与教学组织中的工具属性,旨在为环境学科由"课程供给逻辑"向"学习生成逻辑"的转型提供结构化参考与可复制框架.
[Objective]To address key challenges in undergraduate-postgraduate(UG-PG)integration in environmental engineering education,including content duplication,insufficient curricular articulation and missing frontier topics,as well as the limitations of traditional curriculum systems organized around isolated individual courses without an integrated structural design,this paper proposes a knowledge-graph based pathway for curriculum optimization to achieve course consolidation,stronger articulation,and frontier embedding,thereby providing structured curricular organization support for the cultivation of top innovative talents.[Methods]First,this paper conducted knowledge-point extraction and structured representation,using teaching texts such as course syllabi,textbooks,and lecture materials as data sources,producing standardized curriculum knowledge units under unified granularity and terminology.Then,this paper built a teaching knowledge graph and performed course linkage analysis and redundancy diagnostics based on knowledge-point similarity,co-occurrence relationships,and graph structural features to identify"redundant zones-articulation gaps-key nodes".Guided by these signals,this paper implemented graph-informed curriculum restructuring through modular course clusters,bridging micro-modules,and the insertion of frontier nodes[e.g.,carbon neutrality,smart water,artificial intelligence(AI)],thereby re-designing prerequisite-co-requisite-subsequent course chains.[Results]Building on this analysis,this paper proposed a three-layer instructional optimization model—"knowledge graph-ability progression-literacy integration"to achieve a triadic linkage from knowledge to ability to literacy,with explicit application scenarios and feasibility for students(learning navigation and path reachability),instructors(teaching diagnostics and collaborative preparation),and departments/schools(course-cluster governance and quality evaluation).[Conclusion]Focusing on methodology and process,with an emphasis on the use of knowledge graphs as a practical tool for curriculum structure diagnosis and instructional organization,the framework offers a structured and reproducible reference for shifting environmental engineering education from a course-supply logic to a learning-generation logic.
陆建;徐斌;张天阳
同济大学环境科学与工程学院,上海 200092同济大学环境科学与工程学院,上海 200092同济大学环境科学与工程学院,上海 200092
社会科学
知识图谱课程体系优化本研贯通环境学科教学模式
knowledge graphcurriculum system optimizationundergraduate-postgraduate integrationenvironmental discipilineteaching mode
《净水技术》 2026 (3)
182-187,6
同济大学2025年研究生学科知识能力素质图谱建设项目(2025ZSTP05)
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