Research has shown the value of social collaboration and the benefits it brings to learners.
In this study, we investigate the worth of Social Network Analysis (SNA) in translating …

Social Network Analysis (SNA) has emerged as a computational method for studying
interactions, relationships, and connections among a vast array of different entities that …

In the field of learning analytics, mining the regularities of social interaction and cognitive
processing have drawn increasing attention. Nevertheless, in MOOCs, there is a lack of …

There has been extensive research using centrality measures in educational settings. One
of the most common lines of such research has tested network centrality measures as …

This paper reports the findings of a study that measured the effectiveness of employing
automatic text translation methods in automated classification of online discussion …

This study empirically investigates diffusion-based centralities as depictions of student role-
based behavior in information exchange, uptake and argumentation, and as consistent …

Isolating the homophily effect from the socialization process is crucial in understanding the
links between student achievement and peer performance. Then, the combined effects on …

In order to understand and represent the importance of nodes within networks better, most of
the studies that investigate graphs compute the nodes' centrality within their network (s) of …

The analysis of CSCL needs to offer actionable insights about how knowledge construction
between learners is built, facilitated and/or constrained, with the overall aim to help support …

A new paradigm of learning ensures that learning is centered around the learners.
Educators are given the freedom to plan learning that accommodates the characteristics and …