Análise de Redes Sociais para Monitorar Interações em Ambientes Virtuais de Aprendizagem
(Social Network Analysis to Monitor Interactions in Virtual Learning Environment)
Aleksandra do Socorro da Silva (email@example.com)1, Silvana Rossy de Brito (firstname.lastname@example.org)1, Nandamudi Lankalapalli Vijaykumar (email@example.com)2, Claudio Alex Jorge da Rocha (firstname.lastname@example.org)3, João Crisóstomo Weyl Albuquerque Costa (email@example.com)4, Carlos Renato Lisboa Francês (firstname.lastname@example.org)4
1Universidade Federal Rural da Amazônia2Instituto Nacional de Pesquisas Espaciais3Instituto Federal de Educação, Ciência e Tecnologia do Pará4Universidade Federal do Pará
This paper appears in: Revista IEEE América Latina
Publication Date: Oct. 2015
Volume: 13, Issue: 10
Social network analysis is appointed as a promising approach to analyze the interactions in e-learning environments. Virtual Learning Environments (VLE) allow the register of significant amounts of data, proving to be a valuable data source to support researches on online interactions. This study is applied in a course offered in Brazil for training individuals to act as digital inclusion agents in telecenters. Our goals were to investigate the influence of the tutor's role in the grouping of individuals who interact through the VLE and to investigate the grouping of individuals from different regions of the country. Our approach presents the visualization of structure of interactions among the actors and discusses structural aspects of the interactions occurred in the VLE. We found that the classification of individuals by region could be predicted by the classification using a community detection method.
social network analysis, virtual learning environment, e-learning, community detection, Louvain method.
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