Researching Online Learning Interaction Using Social Learning Analytics: A Conceptual Framework

• In Event: AERA Roundtable Session 12
  In Roundtable Session: Engaging Online Learners (Table 3)

Abstract

Interaction is an essential element of online learning. We present a conceptual framework for researchers to better understand learners’ interaction in online learning environments through Social Learning Analytics (SLA). Readers will find concepts from networks theory and online learning literature integrated into a new perspective to analyze learners’ online behaviors and interactions. While the potential for network analysis in SLA is valuable, limited research has considered how best to use this emerging field to inform best practices in online settings. Researchers need a concise and simplified framework for SLA to support interaction in online learning environments. Therefore, we offer a unique perspective by extending our scope beyond LA and focusing on LA’s social and pedagogical implications, more specifically, in SLA.

Authors

• Daniela Castellanos-Reyes, North Carolina State University

• Jennifer C. Richardson, Purdue University

• Shivani Ramoutar, Purdue University