The Construction and Application Practice of Course Knowledge Graph in Educational Digitalization

Abstract

As the infrastructure for semantic integration modeling of course knowledge points, learning tasks and evaluation indicators, the Curriculum Knowledge Graph (CKG) has become a key fulcrum for educational digitalization. Under the theoretical framework of networked learning and knowledge organization, this paper defines the conceptual boundary and mechanism of CKG, and summarizes the engineering processes such as ontology modeling, information extraction, entity alignment, knowledge warehousing and reasoning. Further integrating application evidence such as instructional design optimization, personalized path generation, and enhanced generation of learning situation diagnosis and retrieval (RAG), a quality assessment system and versified governance approach centered on structural consistency, coverage completeness, usability benefits, and trusted traceability are proposed. And discuss the synergy of large language models in term discovery, relational assumptions, and weakly supervised annotations, as well as the auditability gains and consistency risk they bring.