Untangling chaos in discussion forums: A temporal analysis of topic-relevant forum posts in MOOCs

An effective experience in discussion forums is important for online learners to maintain their persistence in a MOOC. The purpose of this research is to identify learners' meaningful participation patterns of topic-related forum posts through the temporal dimension and investigate how the longitudinal trajectory of online meaningful participation is associated with learner performance. Specifically, latent semantic analysis (LSA) and machine learning approaches were used to classify forum posts. Inferential statistic methods were then used to quantify the effect of the temporal dimension of meaningful forum participation on learner performance in MOOCs. The findings of this research provided significant implications on facilitating effective forum discussions and supporting learner performance in MOOCs.

Automated summary

This research aims to investigate the impact of the temporal dimension of meaningful forum participation on learner performance in MOOCs. By utilizing latent semantic analysis and machine learning approaches to classify forum posts, the study provides significant implications for facilitating effective forum discussions and supporting learner performance.