Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Design and Research of Online Education Data Platform Based on Hadoop

Authors
Huan Zhou1, *, Yu Xu2, Chunling Ding1, Cuiyun Wang1
1College of Big Data and Artificial Intelligence, Anhui Xinhua University, Hefei, China
2School of Computer Science and Technology, University of Science and Technology of China, Hefei, China
*Corresponding author. Email: zhouhuan0813@ustc.edu.cn
Corresponding Author
Huan Zhou
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_200How to use a DOI?
Keywords
Online Education; Sqoop; Relational Database; Hadoop
Abstract

Online education is a convenient way to combine content dissemination and rapid learning with electronic products and Internet. Online education advantages include high content production efficiency, no time and space constraints, and study whenever or wherever you want. During COVID-19 pandemic, millions of students have switched to online learning, and online education platform has meet new development opportunities. This thesis specifically analyzes online education platform based on Hadoop through big data. Online education data platform includes four panels, such as access and consultation panel, user registration panel, user intention panel, and student attendance panel. Panel analysis results show that the number of registered users converted from intended customers, attrition rate and attendance of existing users. It helps us to accurately increase user number of online education platform. This provides reliable data support and important reference value for sustainable development of online education.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_200How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Huan Zhou
AU  - Yu Xu
AU  - Chunling Ding
AU  - Cuiyun Wang
PY  - 2023
DA  - 2023/06/30
TI  - Design and Research of Online Education Data Platform Based on Hadoop
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 1802
EP  - 1813
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_200
DO  - 10.2991/978-94-6463-172-2_200
ID  - Zhou2023
ER  -