Monitoring System of College Teaching Quality Based on Data Mining

Learning from the application of data mining technology is conducive to providing a basis for subsequent research on how to use teaching operation status data to implement teaching quality monitoring. The purpose of this paper is to study the teaching quality monitoring system. Using the software design idea based on B/S architecture, the school's teaching quality evaluation system is designed, the application is deeply studied, the steps of data mining and the clustering method used in this paper are analyzed. Analysis algorithm. Applying cluster analysis in credit monitoring, it realizes that students are automatically divided into different types of groups according to their academic performance, so that different warning messages can be provided for groups of students with different academic performance, and a series of academic early warning mechanisms have been developed. Improve students' academic monitoring and curriculum early warning system, and provide meaningful reference for our school to establish a sound teaching quality monitoring mechanism.