Analysis of Online MOOC Learning Network Structure based on the Social Network

DOI

10.2991/macmc-17.2018.106How to use a DOI?

Keywords

MOOC, Learner, Social Network, Course, Clustering, Community

Abstract

Through the online learning platform, learners form a virtual learning network. With such the learning network, learners can learn relevant knowledge and communicate with other learners about study notes, which demonstrate the similar characteristics of network with strong or weak relations. From viewpoints of the course and the learner, this paper applied the social network analysis method to study the factors, such as the degree of strength, the network structure and the willingness of information transmission, among the individuals on the MOOC learning platform. The paper analyzed the features of density, transmission, clustering and community based on the online MOOC learning data, whose experimental results show that online course based social network has some characteristics of high network density, medium information transmission and common community. For the learner social network constructed for a specific course, it is found that there is less communication about learners' identities and occupations and stronger clustering.

Copyright

© 2018, 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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TY  - CONF
AU  - Hong Liu
AU  - Xiaojun Li
AU  - Biwei Li
PY  - 2018/01
DA  - 2018/01
TI  - Analysis of Online MOOC Learning Network Structure based on the Social Network
BT  - Proceedings of the 2017 4th International Conference on Machinery, Materials and Computer (MACMC 2017)
PB  - Atlantis Press
SP  - 568
EP  - 575
SN  - 2352-5401
UR  - https://doi.org/10.2991/macmc-17.2018.106
DO  - 10.2991/macmc-17.2018.106
ID  - Liu2018/01
ER  -