A Predictive Study of Students' Self-Regulated Learning Skills and Their Prominence in Social Network Interaction on Online Discussion Boards

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Abstract

Self-regulated learning (SRL) skills are critical to online learning. However, it is unclear how SRL skills may predict social network interaction. This study empirically investigated the predictive relationships between the SRL skills and learners’ prominence (i.e., in-degree, out-degree, betweenness centrality, closeness centrality, eigenvector centrality, reciprocated vertex pair ratio, & page rank) in the social network of the discussion board within online courses. The predictive utility of SRL skills for betweenness and closeness centralities was supported. Therefore, the learners with greater SRL were more likely to play more prominent roles as the community learners.

Authors

• Cherng-Jyh Yen, Old Dominion University

• Chih-Hsiung Tu, Northern Arizona University

• Aras Bozkurt, Anadolu University

• Claudia Rodas, Northern Arizona University

• Hoda Harati, North arizona university

• Laura Esthela Sujo-Montes, Northern Arizona University

• Elizabeth V Moore, Northern Arizona University