Abstract
Adaptativity is a key-concern when developing serious games for learning purposes. It makes it possible to customize the game according to each learner individuality. To deal with adaptativity, this chapter proposes a Model-Driven Engineering approach that supports dynamic scenarization instead of implementing fixed configurations of learning scenarios. The base principle is to consider the generation of scenarios as a model transformation of a learner profile and a game description models toward adapted scenarios. This proposal has been applied to the context of the Escape-it! research project that aims to propose an “escape-room” game for helping children with Autistic Syndrome Disorder (ASD) to learn visual performance skills.
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Laforcade, P., Laghouaouta, Y. (2019). Generation of Adapted Learning Game Scenarios: A Model-Driven Engineering Approach. In: McLaren, B., Reilly, R., Zvacek, S., Uhomoibhi, J. (eds) Computer Supported Education. CSEDU 2018. Communications in Computer and Information Science, vol 1022. Springer, Cham. https://doi.org/10.1007/978-3-030-21151-6_6
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