Application Research Of Data Mining Technology In Secondary Vocational Teaching Evaluation

In order to meet the needs of modern teaching management, most of the secondary vocational schools used the credit system management in teaching and student management, which could develop the efficiency and standard of management. After many years, the schools would collect a large amount of data. However, the stored data was only for inquiry, and it had little effect in school teaching management. The reason is that the data couldn’t provide the factual basis and deep analysis for managers in the schools. At present, there are many successful cases about the data application mining technology in education in both China and abroad. Through this technology, the essence through the appearance can be seen. Moreover, teaching advices can be provided to teachers and policy decisions can be provided to the school construction department.This paper mainly explores the application of the data mining technology in the teaching evaluation field of secondary vocational schools. Firstly, the application of association rules analysis technology in student evaluation data is studied, which is in order to find the association rules between the various factors affecting the evaluation results of teachers and teaching from students’ angle. Based on the disadvantages of Apriori, this paper states Apriori-P, a algorithm has several advantages such as smaller occupied space and higher efficiency. Secondly, it explores the application of decision tree classification technology in class observations, therefore, it is easier for teachers to observe the positive characteristics of other teachers in class, as well as provides policy decisions to the school construction department. Thirdly, because the ID3 algorithm can only deal with the discrete attributes, a discussion on a improved algorithm of ID3 is shown on this paper. The improved algorithm only needs some simple operations in calculation, which has significantly reduced the amount of calculations compared with the original ID3 algorithm, and greatly enhanced the ability of data processing. Last but not least, the application of t test data analysis techniques in comprehensive teaching evaluation data analysis is carried out, significant differences from four dimensions are discussed in order to test the significant differences of students’ evaluation and peer evaluation.The application of the data mining technology in the teaching evaluation field is stated by given out examples. The result shows that the analysis process and this technology is practical and effective.The result of data mining techniques analysis can be used to indentify existing teaching problems and areas of improvement in teaching. Therefore, is can also help teachers to improve their teaching quality, provide decision basis for the improvement of teaching quality, as well as provide decision basis for the construction of school management and teachers team in secondary vocational schools.