Research On Application Of Personalized Network Teaching System Based On Data Mining Technology

Using big data technology can extract rules from huge amounts of data,through the practice of different industries found that data mining,sorting,analysis was carried out on the huge amounts of data can provide effective decision-making reference,after the education industry,the data mining technology is introduced into the network teaching platform,in order to improve the students’ learning and the teaching management level,is effective.Using big data related technology to explore students,teachers,curriculum,such as the inherent law between content,can provide reference for education teaching decision-making basis,can also be used for whole provide guiding basis for the teaching task and teaching plan formulation.Based on association rules between different subjects for students grades for clustering analysis,found the regularity of subject between inner,including two,three disciplines and the inner link between the multidisciplinary,internal rules and disciplines,to help decision makers to the arrangement of the teaching plan and teaching task.Through the improved differential evolution algorithm to improve the clustering criterion optimization,and the students’ course learning content to make use of the algorithm analysis and calculation,the students’ interest in learning records and learning form the visual regularity,help students to develop a personalized study plan.By using the improved association rule algorithm,the students’ access information is sorted out,and the students’ access to the high frequency web page is determined,and the intuitionistic positioning of high frequency access and learning difficulties is realized.Help school decision makers and education level to determine the problems in students’ learning process,and then improve the content of network teaching platform to realize the task of personalized network education.