Social network analysis of a gamified e-learning course: Small-world phenomenon and network metrics as predictors of academic performance
作者：
Highlights：
• A social gamified system is used to gather information about the social network.
• The underlying social network is analyzed using Social Network Analysis (SNA).
• The resulting social network of a gamified course is a small world.
• Network metrics are assessed as predictors of learning achievement.
• Predictive models differ significantly and have limited representativity.
摘要
•A social gamified system is used to gather information about the social network.•The underlying social network is analyzed using Social Network Analysis (SNA).•The resulting social network of a gamified course is a small world.•Network metrics are assessed as predictors of learning achievement.•Predictive models differ significantly and have limited representativity.
论文关键词：E-learning,Social network,Gamification,Social network analysis (SNA),Small-world
论文评审过程：Received 29 January 2015, Revised 11 February 2016, Accepted 12 February 2016, Available online 27 February 2016, Version of Record 27 February 2016.
论文官网地址：https://doi.org/10.1016/j.chb.2016.02.052
