Research On Construction Of Educational Management Model Based On Data Mining Technology

With the advancement of education informatization, education management methods have gradually become information-based, and large amounts of saved data have been accumulated in teaching. How to maximize the use of these data has become a research difficulty. The whole process of data mining is introduced, including determining the object and target of mining, data preparation through data selection, data pre-processing, and data transformation. A decision tree model was generated and tested using the WEKA data mining tool based on the analysis and comparison of several standard algorithms for decision trees. The main factors affecting the quality of students were found in the extracted classification rules, which improved the data analysis and provided decision support for student training while integrating the data mining module into the comprehensive student information management model. Based on this article, an education management model based on data mining technology is proposed. This article first elaborates the challenges brought to education management in the context of big data and discusses the research status of data mining technology. Taking student management in education management as an example, an education management student information database is established, student information is summarized, and the potential value of mining information using multiple data mining algorithms is proposed. The student information test confirmed that the design was successful.