Data Mining-Based Design Mechanism of Vocational Education Quality Assessment System

The current data mining technology has been extensively used in education. Big data technology provides data support for teaching management, student management, educational decision-making, and evaluation supervision. To improve the quality of education and teaching management, it is necessary to give full play to the information disclosure, value mining, and comprehensive evaluation functions of the data mining system for the modern development of education. For vocational education, teaching quality monitoring is one of the core links. This necessitates the use of big data for the development of the quality assessment system of vocational education. Also, vocational colleges need to make full use of big data technology to build the system, promote the improvement of the quality of vocational education, and realize the training of high-quality professional talents. In this context, this study is carried out to propose the design mechanism of the system based on data mining. The construction idea of the vocational education quality evaluation system is analyzed based on data mining, and then the implementation mechanism of the system is proposed to include the corresponding mechanism, the data mining elements, the overall system design, and the system detailed design.