Application Research Of Data Mining Technology In The Teacher Evaluation System Of Secondary Vocational School

In recent years,with the increasing emphasis on secondary vocational education in our country,the evaluation of education and teaching quality in the level of secondary vocational education continues to expand and deepen,and the evaluation of teachers has become the routine teaching affairs of every school.The application of data mining technology in various industries is developing rapidly,but there are relatively few in terms of education and teaching.The research on the evaluation of education and teaching quality mostly focuses on the analysis of the objective scoring data generated by the evaluation,and the establishment of models or classification rules for teachers’ assessment.Moreover,there are few studies on the application of the results of the analysis,and the subjective evaluation text data are rarely involved.With the help of data mining technology and text analysis method,this paper mines a large number of objective score data and subjective comment data in teacher evaluation.Combined with various factors in Teachers’ teaching,the advantages and disadvantages of teachers’ teaching are discussed.I hope to improve the teaching level of teachers and optimize the teaching,so as to provide support for the development of education in secondary vocational schools and the school’s teaching decision-making.The main work of this paper is as follows:1.The decision tree is used to mine the score data generated by the teacher evaluation system,construct the decision tree,extract the classification rules,and predict the grade.2.A commentary bias analysis of the comment text.A special emotional dictionary for commentary is constructed.According to the classification and weighting algorithm of appraisal tendency and grading algorithm,the students’ appraisal and pejorative emotional support rate and emotional grade for teachers’ teaching are given.3.Fine-grained analysis of the comment text.Fine-grained attributes are classified.Affective analysis is carried out based on the fine-grained attributes of comments.The categories of fine-grained attributes and affective tendencies are given.4.The teacher evaluation system is designed,and the decision tree of the score data is predicted by using the algorithm.The analysis results of the comment text are given,as well as the fine-grained attributes of the students’ emotional distribution map of the teacher’s teaching evaluation.