| Nowadays, with the progress of society, our physique is constantly improving education, vocational colleges teaching model, talent training mode also will be a big change. A Secondary Vocational in the teaching process in the accumulation of a large number of data has been in a state of undeveloped and unused. Using data mining technology from these vast amounts of data found to affect the level of quality of Secondary Vocational teaching the key factors for the long-term development of Secondary Vocational provide strong scientific decision-making support.The data mining technology is not a separate discipline, but a comprehensive interdisciplinary field of databases, statistics, and artificial intelligence. We use a vocational technical college educational management system as a platform, using data mining techniques to assess the level of teaching quality in Secondary Vocational.For Teaching Quality assessment of vocational technical college with data mining technology to do the work as follows. First, the use of decision tree algorithm for the analysis of academic performance situation of students in specialized courses. By setting different split conditions for terminated improved decision tree algorithm to identify relevant factors affecting the effectiveness of teaching. Use the algorithm finding the factors that affect the quality of students’ vocational, to provide a scientific basis for the decision of improve the training model and teaching courses. Finally, with the classic hierarchical search algorithm, data mining this the polytechnic job full-time teachers basic information and evaluation data, the past three years, and provide the scientific decision-making to help create a high level of professional full-time teachers team.By the three applications, for comprehensively improve the level of teaching quality Secondary Vocational provide effective, accurate and scientific basis for decision making. |
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