Proceedings of the 2019 International Conference on Advanced Education Research and Modern Teaching (AERMT 2019)

An Analysis of the Internal and External Factors of MOOC Learner Keeping Learning and Abandoning

Authors
Jingjing Chen, Juan Wu
Corresponding Author
Jingjing Chen
Available Online October 2019.
DOI
https://doi.org/10.2991/aermt-19.2019.53How to use a DOI?
Keywords
MOOC, learning retention, investigation, proposal
Abstract
With the development of MOOC teaching products platform, improving the teaching level of MOOC became a hot issue. In the deep integration of "Internet +", virtual simulation and artificial intelligence, the exploration and application of MOOC has become one of the important ways of teaching reform in universities. This paper firstly conducted a survey on the face-to-face questionnaire of student in MOOC learning platform, then established a learning retention relationship model for MOOC learners, used data and Kano model to analyze the willingness of MOOC learners, and finally put forward suggestions about the optimization of platform design, teaching design considering the needs of scholars and the improvement of individual learning retention ability of scholars for MOOC curriculum design. The innovative point of this paper was to analyze comprehensively the internal and external factors affecting continuing learning of students on MOOC and the factors were under review on relating to the surrounding environment and the changes in students' learning attitude and state.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Jingjing Chen
AU  - Juan Wu
PY  - 2019/10
DA  - 2019/10
TI  - An Analysis of the Internal and External Factors of MOOC Learner Keeping Learning and Abandoning
BT  - Proceedings of the 2019 International Conference on Advanced Education Research and Modern Teaching (AERMT 2019)
PB  - Atlantis Press
SP  - 212
EP  - 215
SN  - 2352-5398
UR  - https://doi.org/10.2991/aermt-19.2019.53
DO  - https://doi.org/10.2991/aermt-19.2019.53
ID  - Chen2019/10
ER  -