Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Behavior and Intention in MOOCs Research

Authors
Bing Wu, Chenyan Zhang
Corresponding Author
Bing Wu
Available Online November 2016.
DOI
https://doi.org/10.2991/aiie-16.2016.119How to use a DOI?
Keywords
behavior;intention;MOOCs;acceptance; engagement
Abstract
Although many efforts have been done on Massive Open Online Courses (MOOCs) contexts, how to understand the behavior and intention of individuals is a key issue in MOOCs. This article focuses on a review of both behavior and intention concerning MOOCs from science citation index expanded (SCI-EXPANED) and Social Sciences Citation Index (SSCI) database on web of science. Research results indicate that (1) the number of citations on these topics mainly distributes in recent 3 years, reaching climax of 300 in 2015; (2) the main research territory is USA, accounting for 38.4%, then followed by Spain of 11.6% and Canada of 8.7% respectively; (3) the year of published articles distributed between 2013 and 2015; (4) in the view of research area, there are three main areas: educational research, computer science, and library science. Overall, the related research topics can be classified into four aspects: motivation, intention, acceptance and engagement.
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Proceedings
2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/aiie-16.2016.119How 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  - Bing Wu
AU  - Chenyan Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Behavior and Intention in MOOCs Research
BT  - 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 513
EP  - 516
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.119
DO  - https://doi.org/10.2991/aiie-16.2016.119
ID  - Wu2016/11
ER  -