Social Interactions Clustering MOOC Students: An Exploratory Study
Year: 2020
Type: conference-paper
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.
Authors: Shi, Lei, Cristea, Alexandra, Alamri, Ahmad, Toda, Armando M., Oliveira, Wilk
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W3048230328
