Research Article
Design of University Students' Behavior Analysis Platform Based on Data Mining
@INPROCEEDINGS{10.4108/eai.24-11-2023.2343613, author={Yulong Zhang}, title={Design of University Students' Behavior Analysis Platform Based on Data Mining}, proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China}, publisher={EAI}, proceedings_a={ITEI}, year={2024}, month={4}, keywords={smart campus cloud platform; data mining; college student education management}, doi={10.4108/eai.24-11-2023.2343613} }- Yulong Zhang
Year: 2024
Design of University Students' Behavior Analysis Platform Based on Data Mining
ITEI
EAI
DOI: 10.4108/eai.24-11-2023.2343613
Abstract
It is of great significance to use big data analysis method to explore the potential laws of college students, provide scientific decision-making basis for school teaching and management, and improve the education management and service quality of college students. Based on the data of college students' study, consumption, interest, sports, socialization, surfing the Internet and borrowing, this paper makes intelligent analysis and research on students' behavior by using the collection, processing and mining methods of big data, and builds a student behavior analysis and early warning system on the basis of Django architecture, so as to analyze, predict and early warn students' behavior and lay the foundation for refined education and teaching.
