Lynch, Collin F.; Merceron, Agathe; Desmarais, Michel; Nkambou, Roger
(Ed.)
Discussion forums are the primary channel for social interaction and knowledge sharing in Massive Open Online Courses (MOOCs). Many researchers have analyzed social connections on MOOC discussion forums. However, to the best of our knowledge, there is little research that distinguishes between the types of connections students make based upon the content of their forum posts. We analyze this effect by distinguishing on- and off-topic posts and comparing their respective social networks. We then analyze how these types of posts and their social connections can be used to predict the students’ final course performance. Pursuant to this work we developed a binary classifier to identify on- and off- topic posts and applied our analysis with the hand-coded and predicted labels. We conclude that the post type does affect the relationship between the students and their closest neighbors or community members clustered communities and their closest neighbor to their learning outcomes.
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