Consistency verication of learner proles in adaptive serious games
Résumé
This article addresses issues of consistency verication of learner proles in adaptive serious games. More precisely, our research objective is to propose models and tools that allow the user (learner, teacher or expert, depending on the context of application) to create coherent proles consistent with domain knowledge. Our approach has been conceived and developed in the context of the platform GOALS. GOALS, as Generator Of Adaptive Learning Scenarios, is an online platform which allows the generation of learning scenarios, keeping into account the educational and entertaining aspects of serious games. For this, the knowledge in GOALS is organized into three layers: the domain concepts, the pedagogical resources, and the game resources. The prole is represented by a set of couples in the form