Proceedings of the 2018 5th International Conference on Management Science and Management Innovation (MSMI 2018)

Research on Online Learning Behavior Analysis and Its Influencing Factors Based on SPOC Data

Authors
Wei ZHENG
Corresponding Author
Wei ZHENG
Available Online April 2018.
DOI
10.2991/msmi-18.2018.60How to use a DOI?
Keywords
MOOCS, SPOC, Big data, Learning behavior.
Abstract

MOOCS is an emerging online course model based on Internet & Education, and SPOC is a sophisticated online and offline learning model following MOOCS. This teaching model is used by many top universities such as Harvard, MIT, Stanford, UC Berkeley, etc. and SPOC teaching mode provides a guarantee for MOOCS to take root in university campus. In this paper, in order to explore the students' learning behavior and influencing factors under the SPOC teaching mode and provide reference for educational workers to design teaching resources and teaching activities that are more in line with students’ learning needs and learning habits, the author makes use of the data of the students' online learning behavior under the SPOC teaching mode, and analyzes the students' learning needs, learning patterns and learning preferences.

Copyright
© 2018, 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/).

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Volume Title
Proceedings of the 2018 5th International Conference on Management Science and Management Innovation (MSMI 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
April 2018
ISBN
978-94-6252-527-6
ISSN
2352-5428
DOI
10.2991/msmi-18.2018.60How to use a DOI?
Copyright
© 2018, 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  - Wei ZHENG
PY  - 2018/04
DA  - 2018/04
TI  - Research on Online Learning Behavior Analysis and Its Influencing Factors Based on SPOC Data
BT  - Proceedings of the 2018 5th International Conference on Management Science and Management Innovation (MSMI 2018)
PB  - Atlantis Press
SP  - 337
EP  - 344
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-18.2018.60
DO  - 10.2991/msmi-18.2018.60
ID  - ZHENG2018/04
ER  -