Research on the application of university teaching management evaluation system based on Apriori algorithm
Yang Zhao
Abstract
Abstract University teaching quality evaluation is supported by big data, which can collect rich and comprehensive data materials as the basis of evaluation. However, it is difficult to find accurate and effective information from the huge data materials. This paper gradually establish “the whole process of implementation, multi stakeholder participation in the teaching quality evaluation system”. This paper take “the collection of data to achieve standardization, the application of data to achieve diversification and the management of data to achieve institutionalization” management measures. This paper make full use of the advantages of big data to improve the teaching quality of undergraduate teaching in local colleges and universities. This paper mainly expounds the Apriori algorithm in association rules of data mining, and uses it to further analyze the teaching evaluation results, trying to dig out the potential valuable information. These information can be used as a reference for further decision-making of teaching management department, so as to effectively improve the quality of education and teaching and accelerate the realization of education modernization.