An analysis of learners' learning behavior in Massive Open Online
Authors
Jiwei Qin, Zhenhong Jia, Hongtao Li
Corresponding Author
Jiwei Qin
Available Online July 2017.
- DOI
- 10.2991/cetcu-17.2017.26How to use a DOI?
- Keywords
- massive open online; learning behaviors; learner's academic
- Abstract
In this paper we access to data of 2,954 learner's learning behavior from Xinjiang University online electives are part of the massive online platform named "Erya". Based on the data, we construct learner's learning model, acquire rules of learning and predict learner's academic record. In order to meet learner's personal needs, the results are used to help educator to develop teaching design and strategies, meanwhile, to optimize online platform and design resources.
- Copyright
- © 2017, 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 - Jiwei Qin AU - Zhenhong Jia AU - Hongtao Li PY - 2017/07 DA - 2017/07 TI - An analysis of learners' learning behavior in Massive Open Online BT - Proceedings of the 2017 3rd Conference on Education and Teaching in Colleges and Universities (CETCU 2017) PB - Atlantis Press SP - 105 EP - 111 SN - 2352-5398 UR - https://doi.org/10.2991/cetcu-17.2017.26 DO - 10.2991/cetcu-17.2017.26 ID - Qin2017/07 ER -