The Application Of Clustering Analysis In Evaluation Of Universities Classroom Teaching Quality

The implementation of teaching quality evaluation has a certain guiding role in teaching reform and teaching management and so on,and choosing the appropriate evaluation method is very important to the implementation of teaching quality evaluation.The evaluation of classroom teaching quality in colleges and universities includes the evaluation of learning and teaching.This paper mainly evaluates the students' learning effect and teachers' teaching effect.In the evaluation of traditional college classroom teaching quality,most of the evaluation has some shortcomings,such as: the evaluation content is not rich enough,the evaluation of the subject is relatively monotonous,evaluation feedback is not timely,and the results are not scientific and accurate.Although the existing evaluation methods are diverse in form,but most of them are qualitative evaluation,so we take quantitative and qualitative combination of methods to explore the cluster analysis in the classroom teaching quality evaluation of the application.In general,the main task of this paper is as follows:Firstly,the collection and reading of a large number of related literature,and the literature on the quality of classroom teaching evaluation of the theory and the principles of the evaluation to be summarized,on the basis of a reasonable application of evaluation index system of teaching quality in university classrooms.Secondly,the concept and classification of clustering analysis are introduced,and the ideas and algorithm steps of K-Means algorithm are introduced.Thirdly,according to the actual situation to take the students' comprehensive achievement to show the students' learning effect,so as to evaluate the quality of classroom teaching in colleges and universities.In the selection of K-Means algorithm for students to evaluate the effect of learning,we use the comprehensive results to express the learning effect,which is divided into normal scores and final exam results.According to the characteristics of each student and the characteristics of the course,and according to the final experimental results,advisor in education should be how to organize teaching activities in teaching work,how to choose teaching methods,cultivate students' innovative thinking and practical ability,and finally improve teaching quality.Finally,the evaluation of teachers' teaching effect is carried out by the students' evaluation scores,and the scientific and reasonable evaluation index system is used to evaluate the teaching situation.The statistical analysis of the relevant data is carried out,and then the evaluation model based on cluster analysis is established.This paper analyzes the relationship between five indicators in the evaluation model and the students' scores,and finds out the specific factors that affect the teaching activities,so as to guide the implementation of teachers' teaching work.