Learning Behavior Big Data Tells Us Which Students Can Get a MOOC Course Certificate in Chinese University MOOC

DOI

10.2991/masta-19.2019.26How to use a DOI?

Keywords

MOOC video, Learning behavior analysis, Multiple regression analysis

Abstract

MOOC (Massive open online courses) is developing rapidly, but the pass rate of the course is very low. It is significant to study the characteristics of learners who have obtained certificates. This article analyzes the video and completion behavior of various learners. The results show that the learner who obtained the certificate did not watch enough videos, but often completed a lot of exercises. It means they have acquired knowledge from other sources. MOOC is only a means of consolidating knowledge. The results of this study can help us find the right application model for MOOC. At the same time, MOOC operators are also reminded to improve the MOOC model for more learners to accept.

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)

TY  - CONF
AU  - Yong Luo
AU  - Zhi-hao Xiao
AU  - Jian-ping Li
AU  - Zheng Xie
AU  - Xiao Xiao
PY  - 2019/07
DA  - 2019/07
TI  - Learning Behavior Big Data Tells Us Which Students Can Get a MOOC Course Certificate in Chinese University MOOC
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 157
EP  - 160
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.26
DO  - 10.2991/masta-19.2019.26
ID  - Luo2019/07
ER  -