Researching Of Data Mining In Teaching According To Student's Levels And Needs

This paper mainly talks about the study of combing Data Mining and teaching Statistic,the result of which is supposed to guide the teaching activity. Based on the theory of the discovery of association rules, the study analyzed some cases of Teaching According To Students Levels And Needs to form the algorithm and model through data mining of the factors affecting the teaching activities, using the classical teaching Statistics theory. The relative rules that affect the teaching result are to be discovered and the anticipative result of data mining will be used in later teaching activities.The research provided a DM system for the data analyzing of the Teaching According To Students Levels And Needs which includes Database, DM tools, Logical Analyzing, and Application System. A database designing frame for the Teaching According To Students Levels And Needs analyzing based on the Programming courses was raised in the paper. It tries to use the Nonlinear multivariate analysis to realize nonlinear multivariate analysis, using Minitab. The DM system was built on the Multi-frame structure and was expressed in web pages, that is, C/S+ASP+Internet. The system can be used in Data analyzing and Model building of Teaching According To Students Levels And Needs of IT courses in school. It a good try to realize the data mining.The practice of data mining technique has just begun. More work is to be done. This research is hoped to be helpful for later research.