An Analysis Of Students' Consumption And Learning Behavior Based On Campus Card And Cloud Classroom Data

Nowadays,the Campus card system has been widely used in the process of the development of information construction in Colleges and Universities,Campus card not only for the majority of teachers and students of life,learning has brought great convenience,but also to make the school management easier,faster and more efficient.At the same time,the campus card system in the process of running a lot of data,which record the day-to-day study and life information of teachers and students.Cloud classroom learning platform is our school cloud integrated learning platform,it is widely used in our school undergraduate and graduate school faculties,Its main design goal is for students to learn online and provide course management,to better meet the teaching of teachers and learning of students,as well as the interaction between them.So How to discover the hidden rules and information from these data,in order to provide reference and help to the school management and teaching work,worthy of our inquiry.Since 1990s,Data mining technology has developed rapidly and has become a popular hot discipline.Data mining is a process of automatically discovering useful information in large data repositories.The problem it deals with is to find valuable hidden events in a large database and to analyze them,so that it is useful for organizations,businesses,and so on.At present,data mining has been widely used in retail,manufacturing,finance,finance,insurance,communications and medical services.In this paper,we use the data mining technology and Weka data mining platform,using K-means clustering algorithm to do student clustering data analysis,and with Excel tools for consumer behavior data for multi-dimensional statistical analysis.At the same time,Apriori association rule algorithm is used to mine student learning behavior data and consumer behavior data,to understand the student's learning behavior,and the relationship between consumer behavior and learning behavior.Through this research work,on the one hand,it divides the students' daily consumption behavior in school,and puts forward suggestions and references from the point of view of school service and management;on the other hand,the rules of association between the three attributes of "achievement","online learning time" and"annual consumption" are excavated,which can provide reference for the improvement of education and teaching.