Observing the Evolution of a Learning Community Using Social Network Analysis

2011 ◽  
pp. 215-231
Author(s):  
Francesca Grippa ◽  
Marco De Maggio ◽  
Angelo Corallo
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Community Development ◽  
Learning Communities ◽  
Learning Community ◽  
Learning Environments ◽  
Computer Scientists ◽  
Clear Identification ◽  
Network Metrics ◽  
Contribution Index

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.

Analysis of Students’ Engagement and Activities in a Virtual Learning Community

2013 ◽  
pp. 80-100
Author(s):  
Ben Daniel ◽  
Richard A. Schwier
Keyword(s):  
Social Network ◽  
Learning Communities ◽  
Learning Community ◽  
Student Perceptions ◽  
Learning Environments ◽  
Research Laboratory ◽  
Virtual Learning ◽  
Community Research ◽  
Online Pedagogy ◽  
Virtual Learning Community

With advances in communication technology and online pedagogy, virtual learning communities have become rich learning environments in which individuals construct knowledge and learn from others. Typically, individuals in virtual learning communities interact by exchanging information and sharing knowledge and experiences with others as communities. The team at the Virtual Learning Community Research Laboratory has employed an array of methods, including social network analysis (SNA), to examine and describe different virtual learning communities. The goal of the study was to employ mixed methods to explore whether the content of students’ interaction reflected the fundamental elements of community. SNA techniques were used to analyse ties and relationships among individuals in a network with the goal of understanding patterns of interactions among individuals and their activities, and interviews were conducted to explore features and student perceptions of their learning community.

Analysis of Students’ Engagement and Activities in a Virtual Learning Community

2010 ◽  
Vol 2 (4) ◽  
pp. 31-50 ◽  
Author(s):  
Ben Daniel ◽  
Richard A. Schwier
Keyword(s):  
Learning Communities ◽  
Learning Community ◽  
Student Perceptions ◽  
Learning Environments ◽  
Communication Technology ◽  
Research Laboratory ◽  
Virtual Learning ◽  
Community Research ◽  
Online Pedagogy ◽  
Virtual Learning Community

With advances in communication technology and online pedagogy, virtual learning communities have become rich learning environments in which individuals construct knowledge and learn from others. Typically, individuals in virtual learning communities interact by exchanging information and sharing knowledge and experiences with others as communities. The team at the Virtual Learning Community Research Laboratory has employed an array of methods, including social network analysis (SNA), to examine and describe different virtual learning communities. The goal of the study was to employ mixed methods to explore whether the content of students’ interaction reflected the fundamental elements of community. SNA techniques were used to analyse ties and relationships among individuals in a network with the goal of understanding patterns of interactions among individuals and their activities, and interviews were conducted to explore features and student perceptions of their learning community.

Herding Cats

2010 ◽  
pp. 284-300
Author(s):  
Donald N. Philip
Keyword(s):  
Online Learning ◽  
Social Network ◽  
Network Analysis ◽  
Learning Environments ◽  
Learning Process ◽  
Knowledge Building ◽  
Traditional Classroom ◽  
Process Data ◽  
Communications Networks ◽  
Face To Face

Teachers using online learning environments have found that traditional classroom control techniques do not work when applied online. Instead, other approaches need to be used. This chapter introduces the concept of knowledge-building as an approach that is effective in online learning, and the concept of protocological control as a means of controlling the communications networks that evolve during the learning process. Data from a study involving students in a gr. 5/6 hybrid (online and face-to-face) class are used to illustrate how the teacher controls the learning process when the students all work independently of each other. The use of social network analysis as a tool for visualizing the communications networks that form is demonstrated.

scholarly journals Using Social Network Analysis and Social Capital to Identify User Roles on Polarized Political Conversations on Twitter

2019 ◽  
Vol 5 (2) ◽  
pp. 205630511984874 ◽  
Author(s):  
Raquel Recuero ◽  
Gabriela Zago ◽  
Felipe Soares
Keyword(s):  
Social Capital ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Opinion Leaders ◽  
Information Flows ◽  
Network Metrics ◽  
Network Analysis Metrics

In this article, we discuss the roles users play in political conversations on Twitter. Our case study is based on data collected in three dates during the former Brazilian president Lula’s corruption trial. We used a combination of social network analysis metrics and social capital to identify the users’ roles during polarized discussions that took place in each of the dates analyzed. Our research identified four roles, each associated with different aspects of social capital and social network metrics: activists, news clippers, opinion leaders, and information influencers. These roles are particularly useful to understand how users’ actions on political conversations may influence the structure of information flows.

Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance

2016 ◽  
Vol 60 ◽  
pp. 312-321 ◽  
Author(s):  
Luis de-Marcos ◽  
Eva García-López ◽  
Antonio García-Cabot ◽  
José-Amelio Medina-Merodio ◽  
Adrián Domínguez ◽  
...  
Keyword(s):  
Academic Performance ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small World ◽  
E Learning ◽  
Network Metrics ◽  
Predictors Of Academic Performance
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