Multidimensional Data Fusion-based Analysis of Student Behavioral Trajectories
With the continuous advancement of information construction in colleges and universi-ties,all management work within the school is gradually developing in the direction of digitiza-tion and intelligence.In terms of student management,analyzing the trajectory of students on campus can effectively help schools grasp the daily behavior of students,pay attention to the safety of students,and improve management efficiency.A method is proposed to analyze students'trajectories on campus based on multidimensional data,which obtains various informa-tion about students on campus by various means such as consumption,network connection,at-tendance,face recognition,book borrowing,door lock/access control swipe,etc.,and in-tegrates and analyzes this information effectively.By analyzing the trajectory of students in the school,it can understand the scope of activities,activity trajectory,activity length and other aspects of information,and then provide relevant decision-making reference for the school.Based on this method,a student trajectory query system is developed.The actual use of the sys-tem shows that the method can effectively extract the behavioral characteristics of students in the school and realize the accurate and comprehensive analysis of students'trajectories in the school.
student trajectory analysismultidimensional datadigital managementinformation technology construction in u-niversitiescampus safetystudent behavioral characteristics
NETL
NSTL
万方数据
维普
