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/).
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 -