Research Of The Data Mining's Application In Teaching Management Of Secondary Vocational School

Secondary vocational education bears the important task of training technical blue collar.With the rapid development of information technology,the majority of secondary vocational schools are in the construction of information campus,by introducing electronic educational system,teachers can easily manage student s' academic achievement.But the management of academic achievement in the current vocational school teaching system mostly only stay in simple adding,deleting,modifying,searching instead of deep analyzing,therefore,it cannot effectively identify and utilize students' academic achievement by the useful potential information and knowledge of science for teaching work.According to the shortcomings of the current teaching management system,Data Mining Technology is applied to the analysis of teaching data,to do mining analysis of Pengda Educational System of Dongguan Science and Technology SchoolThe main work of this thesis includes:(1)The application of Decision tree algorithm of Microsoft Sql Server business intelligence platform to analyze the relation between students in different semester grades and graduate status,which helps to constructs a student achievement early-warning model,according to the number of each student's failed course per semester and send out warning information respectively.(2)The application of association rules algorithm of Microsoft Sql Server business intelligence platform to analyze the relation among different curriculum,to find out the strong association rules,eventually provide valuable information for decision support for education administrators.(3)The application of data mining result in the teaching management of secondary vocational school is also explored in this thesis.