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Social Interactions Clustering MOOC Students: An Exploratory Study
August 10, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Lei Shi, Alexandra Cristea, Ahmad Alamri, Armando M. Toda, Wilk Oliveira
arXiv ID
2008.03982
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.LG
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
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.
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