Social Interactions Clustering MOOC Students: An Exploratory Study

Shi, Lei; Cristea, Alexandra I.; Toda, Armando M.; Oliveira, Wilk; Ahmad, Alamri; Chang, Maiga; Sampson, Demetrios G.; Huang, Ronghuai; Hooshyar, Danial; Chen, Nian-Shing; Kinshuk; Pedaste, Margus

Social Interactions Clustering MOOC Students: An Exploratory Study

Shi, Lei; Cristea, Alexandra I.; Toda, Armando M.; Oliveira, Wilk; Ahmad, Alamri; Chang, Maiga; Sampson, Demetrios G.; Huang, Ronghuai; Hooshyar, Danial; Chen, Nian-Shing; Kinshuk; Pedaste, Margus

Authors

Lei Shi

Alexandra I. Cristea

Armando M. Toda

Wilk Oliveira

Alamri Ahmad

Maiga Chang

Demetrios G. Sampson

Ronghuai Huang

Danial Hooshyar

Nian-Shing Chen

Kinshuk

Margus Pedaste

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.

Citation

Shi, L., Cristea, A. I., Toda, A. M., Oliveira, W., Ahmad, A., Chang, M., …Pedaste, M. (2020). Social Interactions Clustering MOOC Students: An Exploratory Study. In IEEE 20th International Conference on Advanced Learning Technologies ICALT 2020 ; proceedings (172-174)

Conference Name	The 20th International Conference on Advanced Learning Technologies (ICALT)
Conference Location	Tartu, Estonia
Acceptance Date	Mar 9, 2020
Online Publication Date	Aug 4, 2020
Publication Date	2020
Deposit Date	Aug 11, 2020
Publicly Available Date	Dec 4, 2020
Pages	172-174
Series ISSN	2161-3761,2161-377X
Book Title	IEEE 20th International Conference on Advanced Learning Technologies ICALT 2020 ; proceedings.
ISBN	9781728160917
Keywords	Learning analytics, Clustering, Social interaction
Publisher URL	https://ieeexplore.ieee.org/xpl/conhome/9146898/proceeding?pageNumber=1

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