Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)

Research and Construction of Learning Community Model Based on Social Network Services

Authors
Liang Hu
Corresponding Author
Liang Hu
Available Online December 2016.
DOI
https://doi.org/10.2991/msota-16.2016.106How to use a DOI?
Keywords
learning community; social network services; internet
Abstract

In view of the current lack of mutual exchanges and mutual learning problems in the learning process Chinese college students, this paper presents SNS network learning community model and construction method based on analysis the students' learning interest in the same data, the students are divided into a community group, provide a good interactive environment for collaboration between students at the same time learning, network learning students can solve the problems in the process of communication.

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/).

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Volume Title
Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-284-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/msota-16.2016.106How to use a DOI?
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  - Liang Hu
PY  - 2016/12
DA  - 2016/12
TI  - Research and Construction of Learning Community Model Based on Social Network Services
BT  - Proceedings of 2016 International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA2016)
PB  - Atlantis Press
SP  - 474
EP  - 476
SN  - 2352-538X
UR  - https://doi.org/10.2991/msota-16.2016.106
DO  - https://doi.org/10.2991/msota-16.2016.106
ID  - Hu2016/12
ER  -