Research on Intelligent Education Method Based on Data Mining of Distance Education System

To solve the problem of single system education mode in network distance education, an intelligent service model of distance education based on Web mining is proposed. This paper first provides the general process of data processing in distance education system, including data preparation and selection, data preprocessing, mining algorithm selection and implementation. Then, through the improvement of Apriori algorithm, we extract part of the experimental data to construct the mining model. Through the application analysis of the model, we acquire the rule set to provide personalized guidance for students. According to the mining results, the system can dynamically generate a set of pages that users may be interested. The practice has proved that the application of Web Mining Technology in the distance learning system improves the personalized service level of the learning system, and provides an intelligent auxiliary means for the decision analysis.