Networked posters: Identifying predictors of prestige, prominence, and interaction in a MOOC discussion forum

• In Event: Learning analytics and social networks

Short Description

We share the results of a social network analysis conducted on 4,950 discussion forum posts from 372 students enrolled in a MOOC to identify the linguistic qualities that are indicators for posts demonstrating high levels of either prestige, prominence or interaction. Our analysis combines the text analysis of posts using LIWC and social network analysis via NodeXL. Our findings contribute to the body of knowledge of student engagement and activity within MOOC discussion forums.

Authors

• Presenter: Rob Moore, Old Dominion University

• Presenter: Tian Luo, Old Dominion University

• Presenter: John Glaeser, Old Dominion University

• Contributor: Shaun Kellogg, North Carolina State University