The Application Research Of Data Mining Technique In Teaching Evaluation

The quaranntee of the teaching quality is a necessary condition for the existence anddevelopment of a college. The evaluation of teaching quality is one of the most importantmeasures in college teaching management. In the setting of teaching quality evaluation system，evaluation should fully reflect the deep meaning，which is the only way to better serve teachingand school management services.This paper studys the evaluation of data mining according to the standards of teachingevaluation. We firstly use teaching assessment scores of10teachers in information system，secondly performed agglomerative clustering analysis，finally obtains the evaluation index ofimpact assessment results; After that, the data correlation analysis is used to obtain the concernproblems as well as the direct effect of student evaluation of teaching result. The improvedApriori algorithm is used to analyse teachers’ basic information on the evaluation of teachingquality influence.The data mining of teachers’ teaching effect and teaching evaluation resultsobtain the correlation between the teaching evaluation results and the class itself characteristic.Clustering analysis and association analysis of the results of the teaching evaluation ofreach a lot of valuable information, this information can help teachers to improve the teachingmethod, enhance the teaching quality, and understand the state of students. It plays an importantrole for students training and education.