Proceedings of the 4th International Seminar on Education Research and Social Science (ISERSS 2021)

A Study on the Design of Big Data Governance Framework in Higher Education and Its Application in Student Management

Authors
Ke Wang1, Zhiyong Jiang1, *
1School of English, Beijing International Studies University, Beijing,100024, China
*Corresponding author. Email: jiangzhiyong@bisu.edu.cn
Corresponding Author
Zhiyong Jiang
Available Online 20 January 2022.
DOI
10.2991/assehr.k.220107.046How to use a DOI?
Keywords
Big Data in Education; Framework Design; Student Management
Abstract

Big data governance framework helps to analyze the logical structure of data governance and provides support for the implementation of data governance. The school-based education big data governance can solve the current problem of lack of education big data practice. Based on the practice dilemma of big data in university education, this paper has designed a reference framework for big data governance in university education, so as to help users analyze and settle the problems in the field of educational data governance in student management more comprehensively and objectively.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 4th International Seminar on Education Research and Social Science (ISERSS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
20 January 2022
ISBN
978-94-6239-517-6
ISSN
2352-5398
DOI
10.2991/assehr.k.220107.046How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ke Wang
AU  - Zhiyong Jiang
PY  - 2022
DA  - 2022/01/20
TI  - A Study on the Design of Big Data Governance Framework in Higher Education and Its Application in Student Management
BT  - Proceedings of the 4th International Seminar on Education Research and Social Science (ISERSS 2021)
PB  - Atlantis Press
SP  - 237
EP  - 241
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220107.046
DO  - 10.2991/assehr.k.220107.046
ID  - Wang2022
ER  -