Knowledge management and e-learning in virtual learning community based on social network analysis
| Published date | 18 November 2019 |
| DOI | https://doi.org/10.1108/LHT-11-2018-0170 |
| Pages | 906-917 |
| Date | 18 November 2019 |
| Author | Yazhong Deng,Wei Sun,Min Chen,Yuan Yang |
| Subject Matter | Library & information science |
Knowledge management and
e-learning in virtual learning
community based on social
network analysis
Yazhong Deng
School of Marxism, Yangtze University, Jingzhou, China
Wei Sun
College of Literature and Media,
Qiannan Normal University for Nationalities, Qiannan, China
Min Chen
Academy of Financial Research, Wenzhou University, Wenzhou, China, and
Yuan Yang
College of Liberal Arts, Southwest University, Chongqing, China
Abstract
Purpose –It is particularly important to study the learner cognition based on information technology and
change of learning environment in e-learning. Therefore, based on the combination of knowledge
management and e-learning, the purpose of this paper is to discuss the basic rules and existing problems of
virtual learning community (VLC).
Design/methodology/approach –In this study, a set of principles and basic framework of VLC was
proposed, which could effectively instruct the construction of knowledge and collective wisdom development
of VLC. Meantime, this paper revealed and constructed the theoretical framework and learning model
for facilitating the advance of collective intelligence, described the main characteristics of collaborative
knowledge building and traced the trajectory of convergence of collective intelligence and verified them
through case studies and field studies.
Findings –The author analyzed the characteristics of VLC assisting knowledge construction and traced the
trajectory of convergence of collective intelligence. In this way, the learners not only construct the meaning of
knowledge in the process of participation from the edge to the center, but also complete the transformation
from a green hand to an old hand. As a result, the learners form a sense of belonging to the community and
complete the identity construction as a member of the community in the process of co-constructing the
cultural tradition and value orientation of the community.
Research limitations/implications –Theanalysisoftheframeworkismade relatively in general terms, and
lacks of the concrete, practical analysis. Therefore, it is necessary to adopt the social network analysis method to
carry out systematic research on the framework, so as to make the actual operation of the VLC more practical.
Practical implications –It is significant to adopt the construction of the research system and theoretical
framework in building VLC so as to improve the learner’s abilities of knowledge building and make full use of
the advantages of the VLC.
Originality/value –This paper revealed and constructed the theoretical framework and learning model for
facilitating the advance of collective intelligence. Besides, it provides a model reference for the follow-up
construction of a new collective learning model.
Keywords Data analysis, Distance learning, Knowledge management, Learning methods,
Hypertext markup language, Knowledge mining
Paper type Research paper
Library Hi Tech
Vol. 37 No. 4, 2019
pp. 906-917
© Emerald PublishingLimited
0737-8831
DOI 10.1108/LHT-11-2018-0170
Received 15 November 2018
Revised 17 December 2018
18 January 2019
14 February 2019
25 February 2019
2 March 2019
Accepted 2 March 2019
The current issue and full text archive of this journal is available on Emerald Insight at:
www.emeraldinsight.com/0737-8831.htm
This work was supported by Research on the Doft Power Construction of Hubei Province from the
perspectiveof historical materialism(Project No. 17Q060) of Hubei Provincial Department of Education.
Besides, it was also supported by the Teacher Development Program of Yangtze University’s (Project
No. JS201702). Also, this work was supported by “Reviewand Reconstructionof the Moral Value of Youth
Films,”the Western ArtProject of the NationalSocial Science Foundationin 2015 (Project No. 15EC172).
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LHT
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