Open AccessResearch on Teachers’ Knowledge Sharing Features Based on Departmental WeChat Group
Author(s) -
Dandan Wei,
Lexing Qiu,
Jianting He
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012004
Subject(s) - centrality , knowledge sharing , social network analysis , knowledge management , sample (material) , social network (sociolinguistics) , computer science , process (computing) , knowledge creation , group (periodic table) , social media , psychology , world wide web , business , mathematics , chemistry , combinatorics , marketing , chromatography , downstream (manufacturing) , operating system , organic chemistry
The article analyzes the knowledge sharing process and behavior of teachers in the network professional community through social network analysis and content analysis. A semester of interactive data is selected as a sample in the college WeChat group. It analyzes social network structure of network professional community knowledge sharing and the interactive relationship from the aspects of community map, density, centrality, cohesive subgroups, core-edge, etc. The article analyses that, teachers’ knowledge sharing in departmental WeChat group presented the characteristics about complexity of shared subjects, unity of shared knowledge, missing interactions and sharing potential.