Comparing friends and peer tutors amidst Covid-19 using social network analysis
COVID-19 has drastically changed the teaching patterns of higher education from faceto- face to online learning, and it has also affected students’ engagement socially and academically. Understanding the nature of students’ engagement during online learning can help in identifying related issues...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2023
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/103863/2/103863_Comparing%20friends%20and%20peer%20tutors%20amidst%20Covid-19.pdf http://irep.iium.edu.my/103863/3/103863_Comparing%20friends%20and%20peer%20tutors%20amidst%20Covid-19_SCOPUS.pdf http://irep.iium.edu.my/103863/ https://www.mdpi.com/2227-7390/11/4/1053 |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | COVID-19 has drastically changed the teaching patterns of higher education from faceto-
face to online learning, and it has also affected students’ engagement socially and academically.
Understanding the nature of students’ engagement during online learning can help in identifying
related issues so that various initiatives can be implemented in adapting to this situation. In this study,
social network analysis is conducted to gain insights on students’ engagement during COVID-19.
Directed and weighted networks were used to visualize and analyze friendship as well as peer tutor
networks obtained from online questionnaires answered by all students in the class. Contrasting
friends and peer tutors reveals some hidden interactions between students and shines some light on
dynamics of the online learning community. The results indicate that, popular and important peer
tutors may not be high achievers and thus possibly contributing to the spread of misinformation in
the online learning community. By comparing weighted indegree and betweenness centrality values,
we suggest approaches to cultivate a healthy online learning community. This study highlights the
use of social network analysis to assist and monitor students’ engagement and further formulate
strategies in order to make the class a conducive online learning community, particularly in the
advent of online learning in higher education institutions. |
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