Proceedings of the 2016 International Conference on Management Science and Innovative Education

The review of information cognitive Load theory in Online English learning Networks

Authors
Yuhong Wang
Corresponding Author
Yuhong Wang
Available Online October 2016.
DOI
10.2991/msie-16.2016.83How to use a DOI?
Keywords
Online English learning Networks; Information cognitive Load theory; Theory model.
Abstract

The research of information cognitive Load theory in Online English learning Networks refer to many users, it had broad application value and realistic significance to study the problem, The paper introduced the research status about the problem and many works based on four theoretical models, epidemic model, linear threshold model, independent cascade model and game theory model, to research it, and many researchers combined these models to study the problem from impact factors, English learning network structures and competition. At last, The paper summarized and analyzed the worthy of research Problems.

Copyright
© 2016, 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/).

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Volume Title
Proceedings of the 2016 International Conference on Management Science and Innovative Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
October 2016
ISBN
978-94-6252-252-7
ISSN
2352-5398
DOI
10.2991/msie-16.2016.83How to use a DOI?
Copyright
© 2016, 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  - Yuhong Wang
PY  - 2016/10
DA  - 2016/10
TI  - The review of information cognitive Load theory in Online English learning Networks
BT  - Proceedings of the 2016 International Conference on Management Science and Innovative Education
PB  - Atlantis Press
SP  - 370
EP  - 373
SN  - 2352-5398
UR  - https://doi.org/10.2991/msie-16.2016.83
DO  - 10.2991/msie-16.2016.83
ID  - Wang2016/10
ER  -