Design of University Students' Learning Management System based on Massive Data Analysis 

Ting Li 

Jincheng College of Sichuan University, Chengdu, 611731, China 

Abstract: In order to realize the information sharing of College Students' learning management, and to im-prove the intelligence level of the information management of college students, a design scheme for the de-velopment of College Students' learning management system based on B/S architecture and mass data analysis is proposed. The system adopts the method of large data information analysis to carry out the scheduling and integration of College Students' information. The fuzzy clustering method is used to carry out the classification management of the university student's mass data. On the B/S architecture, the bus data transmission and remote communication design of the college students' information management system are designed. The system adopts the structure of LabWindows/CVI and B/S to carry out the software design of the college students' learning management system, and the learning management of college students is realized under the Linux kernel. The software development of the learning management system platform uses multi thread scheduling technology to improve the parallel computing and program loading ability of the platform. The simulation results show that the university student management system designed by this method has good information management ability, it has strong information processing ability, the intelligence and human-computer interaction are better.

Keywords: Massive data; Clustering; University students' learning management; System design