Research on the Construction and Practice of Intelligent Courses from the Perspective of Knowledge Graph: A Case Study of English Lexicology
Huan Cao · Education and Social Work · 2025
The course English Lexicology was previously developed into a high-quality online course and implemented blended online and offline teaching. However, two rounds of teaching practice revealed persistent issues, including low utili-zation of online resources, insufficient feedback mechanisms, and sub-optimal personalized learning effectiveness. To address these challenges, guided by the OBE (Outcome-Based Education) concept, the author constructed an intelligent course system based on a knowledge graph. Utilizing the knowledge graph, the course content was decomposed into 11 knowledge mod-ules and further divided into 97 atomic knowledge points (each with a granular-ity of 5-6 minutes), es-tablishing a logical association network among them (comprising 447 knowledge nodes). By integrating Artificial Intelligence (AI) technology, dy-namic learning path recommendations, real-time feedback, and multi-round questioning functions were implemented, forming a synergistic teaching loop of “knowledge + question + goal”. Practice demonstrates that this system signifi-cantly enhances students’ depth of understanding of English lex-icology theories and their knowledge transfer ability, effectively resolving structural contradic-tions inherent in blended teaching. It provides a replicable implementation pathway for transforming traditional blended courses into in-telligent courses.