Who Students Interact With? A Social Network Analysis Perspective on the Use of Twitter in Language Learning

Abstract. This paper reports student interaction patterns and self-reported results of using Twitter microblogging environment. The study employs longitudinal probabilistic social network analysis (SNA) to identify the patterns and trends of network dynamics. It is building on earlier works that explore associations of student achievement records with the observed network measures. It integrates gender as an additional variable and reports some relation with interaction patterns. Additionally, the paper reports the results of a questionnaire that enables further discussion on the communication patterns.

• Type: Journal
• Year: 2010
• Where: ECTEL
• Authors: Carsten Ullrich, Kerstin Borau, Karen Stepanyan
• Keywords: ECTEL 2010, Interaction Patterns, Machine Learning, Probabilistic Social Network, Student Interaction Patterns