Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)

Research and Practice of Online Learning Behavior Analysis Model from the Perspective of Big Data

Authors
Yougui Zhao, Dongmei Xia
Corresponding Author
Yougui Zhao
Available Online 24 December 2019.
DOI
10.2991/acsr.k.191223.007How to use a DOI?
Keywords
big data, online learning platform, online learning behavior
Abstract

By using the analysis results of online learning behavior, teachers can understand and identify students’ learning dynamics, analyze the difficulties and blind spots of the course, reasonably adjust the course structure and video content. Meanwhile, teachers can get inspiration from students’ feedback and expand their teaching ideas. For platform managers, learning data analysis can indirectly show the application effect of platform functions and provide guidance for managers to improve and optimize platform functions. From the perspective of teaching model reform and innovation, the study of learners’ learning behavior brings new ideas for educational researchers to reform teaching model.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
Series
Advances in Computer Science Research
Publication Date
24 December 2019
ISBN
10.2991/acsr.k.191223.007
ISSN
2352-538X
DOI
10.2991/acsr.k.191223.007How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yougui Zhao
AU  - Dongmei Xia
PY  - 2019
DA  - 2019/12/24
TI  - Research and Practice of Online Learning Behavior Analysis Model from the Perspective of Big Data
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 29
EP  - 32
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.007
DO  - 10.2991/acsr.k.191223.007
ID  - Zhao2019
ER  -