Application of data mining in the analysis of classroom results in Higher vocational colleges

In the reform and development of modern education, higher vocational colleges have entered the stage of rapid development. Although the continuous expansion of enrollment scale and the teacher team meet the needs of practical education, how to guarantee the quality of classroom teaching has become the main issue discussed by the administrators of higher vocational colleges in the new era. Classroom achievement analysis is an effective measure to improve the comprehensive level of education. At present, researchers propose to use data mining technology for research and analysis, and actively explore which factors are closely related to student achievement, so as to provide effective basis for education management and classroom teaching. In this paper, on the basis of understanding the current situation of classroom education and grade analysis in modern higher vocational colleges, according to the operation steps of data mining, to create a data warehouse with student grades as the core, build a student grades management system, comparative analysis of ID3 algorithm, C 4.3 algorithm, C 4.5 algorithm and other mining application effects. The final experimental results prove that data mining has research value in the analysis of classroom results in higher vocational colleges.