Research on Innovation and Development of University Education Management from the Perspective of Big Data
- DOI
- 10.2991/978-2-38476-297-2_53How to use a DOI?
- Keywords
- Big data; University education management; Innovation and development; Data-driven; Educational informatization
- Abstract
In the context of the growing development of big data technology, university education management is facing unprecedented opportunities and challenges. The thesis aims to study the innovation and development of college educational management from the perspective of big data and propose corresponding innovation and development strategies. This paper first summarizes the development status of big data, and then deeply analyzes the influence of big data on university education, including improving management efficiency, optimizing resource allocation, and promoting personalized education. Then, the paper puts forward innovative strategies of university education management, including building data-driven decision-making mechanism, boosting informative education. Finally, through the case analysis, the practical application effect of big data is verified.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ting Liu PY - 2024 DA - 2024/10/31 TI - Research on Innovation and Development of University Education Management from the Perspective of Big Data BT - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024) PB - Atlantis Press SP - 425 EP - 431 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-297-2_53 DO - 10.2991/978-2-38476-297-2_53 ID - Liu2024 ER -