Research On Students’ Behavior Based On Big Data Of Smart Campus Platform

In recent years,with improvement of education management system and large-scale database of universities,a large number of university leading the construction of "smart campus" in Colleges.Based on big data facility,"smart campus" project can provide support for university operation.However,many universities can not make full use of data,which makes information resources not be translated into practical impact.Therefore,it is a very important to make rational use of the big data in Colleges,which meet the needs of colleges.This thesis takes the subject of "student behavior Research based on big data of University intelligent campus platform" as the background,aiming at the needs of students’ behavior analysis in Colleges,this thesis mainly explores from the following aspects:（1）This thesis studies the current situation of smart campus construction at home and abroad,and puts forward some suggestions for the current construction.（2）This thesis analyzes the current situation of students,and analyzes the student consumption data,quality development data,student achievement and learning time of a university campus in a city.Clean up,integrate and transform the data,complete the data preprocessing and obtain the analysis data.It integrates the relevant data for association analysis,and uses Apriori algorithm to explore the association rules between behaviors and academic achievement.（3）This thesis attempts to explore the guiding significance of big data for student management from the perspective of management.This research found that the college students’ performance has a certain correlation with some specific behaviors,and the correlation between breakfast on time and performance is more obvious（Pearson coefficient 0.285）.In the process of mining association rules in multiple behavior data,we found the association between multiple combination behaviors and performance,and screened out 7 association rules,which reflected the importance of effective learning and provided a reference for college student management.