Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)

Research on Quantitative Index of MOOC Quality Based on Data

Authors
Guochang Zhou, Jianping Li, Zheng Xie
Corresponding Author
Guochang Zhou
Available Online September 2018.
DOI
10.2991/hssmee-18.2018.10How to use a DOI?
Keywords
MOOC; Curriculum quality; Quantitative indicators; Data analysis.
Abstract

With the rapid development of MOOC, how to evaluate the effectiveness of the curriculum has gradually become the focus of attention of educational scholars. Based on the data provided by Icourse, this paper explores a set of quantitative index system for evaluating the quality of MOOC from two aspects of curriculum content and teaching effect by combining data analysis and theoretical research. We compare and analyze the index data of 20 boutique MOOCs, summarize the construction experience of these courses, propose suggestions for curriculum construction improvement, and promote the development of MOOC.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2018
ISBN
978-94-6252-604-4
ISSN
2352-5398
DOI
10.2991/hssmee-18.2018.10How 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  - Guochang Zhou
AU  - Jianping Li
AU  - Zheng Xie
PY  - 2018/09
DA  - 2018/09
TI  - Research on Quantitative Index of MOOC Quality Based on Data
BT  - Proceedings of the 2018 International Symposium on Humanities and Social Sciences, Management and Education Engineering (HSSMEE 2018)
PB  - Atlantis Press
SP  - 54
EP  - 59
SN  - 2352-5398
UR  - https://doi.org/10.2991/hssmee-18.2018.10
DO  - 10.2991/hssmee-18.2018.10
ID  - Zhou2018/09
ER  -