Research Article
The Application of Big Data Technology in the Analysis of Education Optimization Management
@INPROCEEDINGS{10.4108/eai.13-10-2023.2341062, author={Guo Qinying}, title={The Application of Big Data Technology in the Analysis of Education Optimization Management}, 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 technology; education optimization; management; information platform}, doi={10.4108/eai.13-10-2023.2341062} }
- Guo Qinying
Year: 2024
The Application of Big Data Technology in the Analysis of Education Optimization Management
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341062
Abstract
In order to further optimize the content and design of education, thus improve the management level and efficiency, this article presents the application research of large-scale information technology in education quality management system. This article first analyzes the advantages and disadvantages of large-scale information management of higher education, then studies the main reasons for various problems, and finally focuses on the ways to innovate and optimize the management of higher education in the context of large-scale information processing. The strategy for optimizing the management of higher education in the context of large-scale information is to transform the management thinking of education; Develop a comprehensive information system; Management innovation; Collect information technology major; Information and information is reconstructing the social structure from such aspects as morality, culture, economy, school, and daily life. In this process, large data sets play an important role. The integration of mass information technology into the management of universities can strengthen their management through both theoretical and practical perspectives, ultimately promoting teaching reform in higher education.