Research Article
Construction of a Study Style and Student Management System Based on Big Data Analysis
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341275, author={Ling Wang}, title={Construction of a Study Style and Student Management System Based on Big Data Analysis}, proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={NMDME}, year={2024}, month={1}, keywords={big data analysis; study style construction; student management; system construction}, doi={10.4108/eai.13-10-2023.2341275} }- Ling Wang
Year: 2024
Construction of a Study Style and Student Management System Based on Big Data Analysis
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341275
Abstract
In the field of education, the traditional way of student management has increasingly shown its limitations. Therefore, this paper explores the design and application of a modern student management system integrating big data technology. Based on service-oriented architecture, the system is subdivided into three modules: data acquisition, processing and analysis, and user interaction. It can automatically capture students' academic, behavioral and psychological information, so as to achieve individualized and accurate management. The development of the system also takes into account the needs of data interaction with other platforms to ensure the efficient transmission of information flow. Through field tests, the accuracy and practicability of the system are verified, and a new technology-driven student management scheme is provided for educational institutions. Overall, the study opens a new window on the rapidly evolving field of educational technology and points to a new direction for effective student management.
