Establishment of college English teachers’ teaching ability evaluation based on Clementine data mining

Abstract

Teacher evaluation, an important part of teaching quality management, has an important impact on the cultivation of talents. As scientific and objective teaching evaluation can objectively measure the effectiveness of teachers’ teaching means, it is an important criterion for teaching authorities to evaluate teachers’ teaching methods as well as effective means and important ways to improve teaching methods. The evaluation method of traditional English teachers’ teaching ability is subject to subjective factors, which leads to unreliable evaluation results. This paper describes the use of data mining software Clementine to introduce data mining technology into teaching management, extracts useful information hidden from teaching evaluation data, and explores key factors that influence the quality of teaching. Meanwhile, this paper anonymizes and encodes the data based on data mining technology, discretizes the teaching characteristic variables of English teachers with a large number of eigenvalues, processes teaching data by rough set reduction method, processes English teachers’ teaching database to be mined by rough set method, determines the decision table, sets minimum support and minimum confidence, obtains association rules through association rule mining method to realize English teachers’ teaching data mining, obtains the evaluation indicators through principal component analysis, calculates the English teacher’s teaching ability index, and evaluates English teachers’ teaching ability according to the index value at last. The experimental results show that the evaluation results of the proposed method are reliable and can reflect the true ability of teachers, thus providing a decision-making reference for the management of teaching authorities.