2020/08/10 by Lei Shi, Shi, Lei, Alexandra I. Cristea +9
Computer Science · Social Sciences · #E-Learning and Knowledge Management #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Online Learning and Analytics #Online and Blended Learning #cs.HC #cs.LG
paper · pdf · doi:10.48550/arxiv.2008.03982
The 20th IEEE International Conference on Advanced Learning Technologies (ICALT2020), page 172-174
arxiv created 2020/08/10 · openalex publication_date 2020/08/10 · arxiv updated 2020/08/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.