Abstract: In the process of training medical students, the learning efficiency and personalized learning of students in the stage of basic medical education are issues that need urgent attention. Knowledge graphs can express the essential characteristics of complex logical relationships between knowledge, paving ways to solve these problems. In order to improve students' learning effectiveness and efficiency, and meet the needs of personalized learning, this article is based on a tree structure and adopts the method of domain experts to build schemas and relationships, perform data extraction, data refinement, and data fusion, and construct the knowledge graph of core courses in basic medical education stage on the Chaoxing learning platform. The construction process of the knowledge graph is presented for the core courses of basic medical education stage in this paper. Through application in 45 students who applied to change majors at Tianjin Medical University in grade 2021 with a statistical method, the results showed that the scores of students who often use the knowledge graph [(177.7±23.3) points] were higher than those who did not use it frequently [(147.9±20.3) points], and it was statistically significant (P<0.001). Therefore, knowledge graphs can help improve students' learning effectiveness and efficiency, and provide support for personalized learning as well.

Key words: Computer-assisted instruction, Knowledge graph, Basic medical education, Construction, Application