Abstract
In a learning situation, gamification is a way to motivate learners and enhance their participation to learning activities by adding game elements. But it still pays little attention to the individual differences among learners’ preferences as players. This paper presents a generic and adaptive gamification system that can be plugged on various learning environments. The game elements can be automatically adapted, based on an analysis of the interaction traces. The architecture of the proposed system is based on the separation between the control of the pedagogical elements and the control of the game elements. To support the adaptivity of the game elements, we refer to a user model based on a list of player types. The user model is initialized thanks to the traces of interactions, and finally used to predict which game feature will be relevant for the user.
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Acknowledgements
The work is supported by a CIFRE fellowship funded in part by ANRT (National Association for Research and Technology) on the behalf of the French Ministry of Higher Education and Research, and in part by Woonoz company.
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Monterrat, B., Lavoué, É., George, S. (2015). Toward an Adaptive Gamification System for Learning Environments. In: Zvacek, S., Restivo, M., Uhomoibhi, J., Helfert, M. (eds) Computer Supported Education. CSEDU 2014. Communications in Computer and Information Science, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-319-25768-6_8
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DOI: https://doi.org/10.1007/978-3-319-25768-6_8
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