Predicting students’ communication in online learning social networks
Journal
International Journal of Electrical & Computer Sciences
Date Issued
January 2012
Author(s)
Abstract
This paper provides a new approach for
analysing social networks that are formed around e-Learning environments. A combination of three methods (Social Network
Analysis, Collectivist Online Learning Environment Survey, Attitudes Towards Thinking and Learning Survey) was applied
to a case study of an online course. Following this, correlations were carried out between the students’ responses to the
questionnaires and their actual social interaction in the elearning course. Based on these results we were able to provide
insights on methods that can be used to predict the students’ social interactions when they take part in communication
activities in e-Learning environments.
analysing social networks that are formed around e-Learning environments. A combination of three methods (Social Network
Analysis, Collectivist Online Learning Environment Survey, Attitudes Towards Thinking and Learning Survey) was applied
to a case study of an online course. Following this, correlations were carried out between the students’ responses to the
questionnaires and their actual social interaction in the elearning course. Based on these results we were able to provide
insights on methods that can be used to predict the students’ social interactions when they take part in communication
activities in e-Learning environments.