This paper draws on an empirical work dedicated to understand how the interplay between competition and collaboration influences play-based learning. We analyze the strategies performed by 242 pre-service teachers trained with Tamagocours, an online multiplayer tamagochi-like game. The study is based on the collection, analysis and reporting of data about players (playing analytics). The factorial analysis shows different classes of players. These classes differ in terms of how students perform competition and collaboration. The results also show the evolution of the player’s strategies. We conclude on the need for a shift from a game-based to a play-based perspective for conducting research into the use of games for educational purposes.
CITATION STYLE
Sanchez, E., & Mandran, N. (2017). Exploring competition and collaboration behaviors in game-based learning with playing analytics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10474 LNCS, pp. 467–472). Springer Verlag. https://doi.org/10.1007/978-3-319-66610-5_44
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