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The development of S-CAMO a decision making system for adaptive learning in real time, based on the study of the learner’s profile is characterized by his/her gaze traces associated to each visited content. In this paper we propose a mathematical modeling approach that frames the construction of areas of interest defined by the spatial density of fixations based on the dbscan algorithm. However, the structuration of this model is related to the displayed course architecture, and is characterized by a scalable volume flow of gaze data. |
