Proceedings of the 2018 International Seminar on Education Research and Social Science (ISERSS 2018)

Research on MOOC Learning Effectiveness

Authors
Yong Luo, Jianping Li, Zheng Xie, Guochang Zhou, Xiao Xiao
Corresponding Author
Yong Luo
Available Online July 2018.
DOI
https://doi.org/10.2991/iserss-18.2018.10How to use a DOI?
Keywords
MOOC, Course evaluation, learning effectiveness
Abstract
The rapid development of MOOC, and more and more people learn online by it. However, MOOC faces the problem of very high dropout rates, and lack of curriculum evaluation system. The traditional pass rate assessment model is clearly unreasonable. This article researched the effectiveness of learning behaviors. Based on the theory of effective learning, MOOC learners are divided into three categories. They are authenticator, observer and visitors. The pass rate for each type of learner is completely different. Their core distinctions are based on effective learning. So it can reasonably classify learners' behaviors and provide new ideas for course evaluation. At the same time, it can also provide reference for different learners to design corresponding learning solutions.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Seminar on Education Research and Social Science (ISERSS 2018)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2018
ISBN
978-94-6252-540-5
ISSN
2352-5398
DOI
https://doi.org/10.2991/iserss-18.2018.10How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yong Luo
AU  - Jianping Li
AU  - Zheng Xie
AU  - Guochang Zhou
AU  - Xiao Xiao
PY  - 2018/07
DA  - 2018/07
TI  - Research on MOOC Learning Effectiveness
BT  - 2018 International Seminar on Education Research and Social Science (ISERSS 2018)
PB  - Atlantis Press
SN  - 2352-5398
UR  - https://doi.org/10.2991/iserss-18.2018.10
DO  - https://doi.org/10.2991/iserss-18.2018.10
ID  - Luo2018/07
ER  -