English Teaching Comprehensive Ability Evaluation System Based on K-means Clustering Algorithm

With the implementation of the teaching evaluation system, colleges and universities have accumulated a large amount of teaching evaluation data, and it is urgent to improve teachers' English teaching ability. This research mainly discusses the design of an English teaching comprehensive ability assessment system based on K-means clustering algorithm. The cluster analysis module in the system is used to realize the comprehensive analysis and cluster analysis of the evaluation data involving all teachers. In the system designed in this study, students can input and modify the evaluation data of the instructor. Teachers can view the comprehensive evaluation results of classes and courses. Teaching administrators can classify and query the evaluation results of all teachers and the analysis and processing of the results, as well as the K-means cluster analysis results. The system administrator can modify the indicators and weights, and set the teaching plan. In student evaluation, the average evaluation score of male teachers is higher than that of female teachers, with a difference of 34.6 in the highest score. This article will help improve the teaching quality of teachers.