Research on College English Teaching Quality Assessment Method Based on K-Means Clustering Algorithm

Abstract

The evaluation of college teachers' teaching ability is very important. Currently, the indicators for evaluating the quality of college English teaching are unclear and insufficient. This paper evaluates the quality of university classroom teaching from two aspects: students' learning effect and teachers' teaching work. This paper employs the K-means algorithm to analyze the relationship between the indicators in the evaluation model and teachers' teaching ability, finds out the specific factors that affect teaching activities, and guides the implementation of teachers' teaching work. At the same time, the K-means model is used to evaluate students' learning effect, identify the relationship between the indicators in the model and teachers' teaching ability, and find out the specific factors that affect teachers to guide the implementation of teachers' teaching work. Experiments show that the method proposed in this paper can solve the problem that the evaluation indicators of traditional evaluation methods are not clear and insufficient and can be better applied to teaching evaluation.