计算机工程2025，Vol.51Issue(11)：1-21,21.DOI:10.19678/j.issn.1000-3428.0069543
课程知识图谱构建技术研究综述
Survey of Research on Curriculum Knowledge Graph Construction Techniques
摘要
Abstract
In the context of ongoing advancements in educational informatization,constructing precise and efficient curriculum knowledge graphs has become key to promoting personalized education development.As a structured knowledge representation model,curriculum knowledge graphs reveal complex relations between curriculum content and learning objectives to optimize the allocation of educational resources,and tailoring personalized learning paths for learners.This survey presents a discussion around the techniques used to construct curriculum knowledge graphs,starting with an explanation of the basic concepts;intrinsic connections;and significant differences among general,educational,and curriculum knowledge graphs.It then delves into the key technologies used for building curriculum knowledge graphs,covering aspects such as curriculum ontology design,entity extraction,and relation extraction,and provides a detailed analysis and summary of their evolution,key features,and limitations.Furthermore,it explores the application value of curriculum knowledge graphs in scenarios such as learning resource recommendation,learner behavior profile and modeling,and multimodal curriculum knowledge graph construction.Finally,it focuses on the challenges in constructing curriculum knowledge graphs,such as data diversity and heterogeneity,difficulties in quality evaluation,and the lack of cross-curriculum integration,and provides future-oriented insights based on cutting-edge technologies such as deep learning and Large Language Models(LLMs).关键词
课程知识图谱/知识图谱构建/实体抽取/关系抽取/深度学习Key words
curriculum knowledge graph/knowledge graph construction/entity extraction/relation extraction/deep learning分类
信息技术与安全科学引用本文复制引用
孙丽郡,孟繁军,徐行健..课程知识图谱构建技术研究综述[J].计算机工程,2025,51(11):1-21,21.基金项目
内蒙古自治区自然科学基金(2023LHMS06011,2023MS06016) （2023LHMS06011,2023MS06016）
内蒙古师范大学基本科研业务费专项资金(2022JBQN105) （2022JBQN105）
内蒙古自治区军民融合重点科研项目及软科学研究项目(JMRKX202201). （JMRKX202201）
