Observing the Evolution of a Learning Community Using Social Network Analysis
Abstract
During the last decades, social and computer scientists have been focusing their efforts to study the effectiveness of collaboration in both working and learning environments. The main contributions clearly identify the importance of interactivity as the determinant of positive performances in learning communities where the supportive dimension of exchanges is balanced by the interactive one. In this chapter, authors describe a method based on social network metrics to recognize the stages of development of learning communities. The authors found that the evolution of social network metrics - such as density, betweenness centrality, contribution index, core/periphery structure - matched the formal stages of community development, with a clear identification of the forming, norming, and storming phases.
Autore Pugliese
Tutti gli autori
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Corallo A. , DE MAGGIO M. , Grippa F.
Titolo volume/Rivista
Non Disponibile
Anno di pubblicazione
2011
ISSN
Non Disponibile
ISBN
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Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
Non Disponibile
Numero di citazioni Scopus
Non Disponibile
0
Ultimo Aggiornamento Citazioni
22/04/2018
Settori ERC
Non Disponibile
Codici ASJC
Non Disponibile
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