Social Interactions Clustering MOOC Students: An Exploratory Study

• URL: http://arxiv.org/abs/2008.03982v1
• Date: Mon, 10 Aug 2020 09:32:38 GMT
• Title: Social Interactions Clustering MOOC Students: An Exploratory Study
• Authors: Lei Shi, Alexandra Cristea, Ahmad Alamri, Armando M. Toda, Wilk Oliveira
• Abstract summary: 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.
• Score: 57.822523354358665
• License: http://creativecommons.org/publicdomain/zero/1.0/
• 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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