Knowledge management and e-learning in virtual learning community based on social network analysis

Author:

Deng Yazhong,Sun Wei,Chen Min,Yang Yuan

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 The analysis of the framework is made 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.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Reference24 articles.

1. Developing a general extended technology acceptance model for e-learning (GETAMEL) by analysing commonly used external factors;Computers in Human Behavior,2016

2. Assessment for learning: a needs analysis study using formative assessment to evaluate the need for curriculum reform in basic sciences;Advances in Physiology Education,2018

3. Organizational learning, community, and virtual HRD: advancing the discussion;New Horizons in Adult Education & Human Resource Development,2017

4. Virtual learning communities in Google Plus, implications, and sustainability in MOOCs,2016

5. Guest editorial special issue on situation, activity, and goal awareness in cyber-physical human–machine systems;IEEE Transactions on Human-Machine Systems,2017

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