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Social Interactions Clustering MOOC Students: An Exploratory Study

Human-Computer Interaction 2020-08-11 v1 Machine Learning

Abstract

An exploratory study on social interactions of MOOC students in FutureLearn was conducted, to answer "how can we cluster students based on their social interactions?" Comments were categorized based on how students interacted with them, e.g., how a student's comment received replies from peers. Statistical modelling and machine learning were used to analyze comment categorization, resulting in 3 strong and stable clusters.

Keywords

Cite

@article{arxiv.2008.03982,
  title  = {Social Interactions Clustering MOOC Students: An Exploratory Study},
  author = {Lei Shi and Alexandra Cristea and Ahmad Alamri and Armando M. Toda and Wilk Oliveira},
  journal= {arXiv preprint arXiv:2008.03982},
  year   = {2020}
}

Comments

The 20th IEEE International Conference on Advanced Learning Technologies (ICALT2020), page 172-174

R2 v1 2026-06-23T17:44:38.878Z