<p>The utilization of knowledge graphs has emerged as a prevailing trend in current medical education reform due to its advantages in visualization and personalized learning. The blended teaching still faces challenges such as knowledge fragmentation, lack of personalized learning pathways and inadequate analysis of learning situations.&#xa0;To evalute the learning experience, learning effect and usability of knowledge graph in the clinical microbiology examination course.&#xa0;The knowledge graph of the clinical microbiology examination course was constructed using natural language processing, deep learning, and other advanced technologies on the Superstar learning platform. 100 third-year students enrolled in 2021 and 2020 majoring in medical examination technology served as the experimental and control group, respectively.&#xa0;The theoretical test scores of the experimental group using knowledge graph for online learning were higher compared to those of the control group using MOOC. The utilization of knowledge graph assisted students in constructing an overall knowledge framework of course and achieving personalized learning and self-evaluation. And it also helped teachers accurately analyze learning situations to provide targeted offline teaching methods and optimize online learning resources. The average scores of four dimensions including the quality of work and life, perceived usefulness, perceived ease of use and user control obtained by the “Health Information Technology Usability Assessment Scale” were 4.67, 4.51, 4.32 and 4.26, respectively.&#xa0;The knowledge graph of clinical microbiology examination course was available, which was helpful to realize personalized learning and precise teaching and effectively solve the problems existing in blended teaching model.</p>