Cluster Analysis of Teaching Knowledge Points of "Statistics" in Medical Colleges Base on Student-Centered

Abstract

Objective: The purpose of this paper is to construct a statistical knowledge point learning system based on two dimensions: difficulty level and learning resource type. Methods: This study aimed to investigate the students who completed the statistics course in middle school hospitals, and used the clustering and two-step clustering method in the SPSS software to cluster the results. Results: This study obtained two results of the knowledge point learning system: First, the clustering results based on the difficulty level analysis, which can be used to summarize the difficulties and difficulties in the statistical teaching process from the perspective of students; Second, the results of different learning resource types clustering knowledge points, which shows that the extracurricular teaching resources of statistics and the learning effect played at this stage is not obvious. Conclusion: The statistical learning process cannot be carried out solely by teachers. It requires students, teachers and schools to work together. Whether there are different types of colleges and universities in the distribution of statistical knowledge points, structural differences between different provinces and different provinces, and the fairness of extracurricular teaching resources between them in the university category, whether there is a significant difference between the provinces, will be Future research directions.