Paper Info
Title
Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance.
Abstract
Social networks and gamification are having an important and growing role in education. Social networks provide unknown communication and connection possibilities while games have the potential to engage students. This paper analyzes the structure of the social network resulting from a gamified social undergraduate course as well as the influence that student's position has on learning achievement. In a semester long experiment, a social networking site was delivered to students providing gamified activities and enabling social interaction and collaboration. Social network analysis was used to build the network graph and to compute four measures of the overall network and nine measures for each participant. Individual measures were then assessed as predictors of students' achievement using three different methods: correlation, principal component analysis and multiple linear regressions. The resulting social network has 167 actors and 2505 links, and it can be characterized as a small-world. All analyses agreed on the potential of structural metrics as predictors of learning achievement but they differ in the measures considered as significant. A moderate correlation was found between most centrality measures and learning achievement.
Year
DOI
Venue
2016
10.1016/j.chb.2016.02.052
Computers in Human Behavior
Keywords
DocType
Volume
E-learning,Social network,Gamification,Social network analysis (SNA),Small-world
Journal
60
ISSN
Citations 
PageRank 
0747-5632
3
0.37
References 
Authors
0
7
Name
Order
Citations
PageRank
Luis de Marcos111216.95
Eva García-Lopez2225.53
Antonio Garcia33511.13
José-Amelio Medina431.72
Adrián Domínguez526812.46
José Javier Martínez-Herráiz630.37
Teresa Diez-Folledo730.37