ContAct-Us: a context-activity adaptive modeler for ubiquitous learning systems

In this paper, we present ContAct-Us an adaptive modeler allowing the modeling and adaptation of context and activity for mobile and pervasive learning scenarios. Indeed, with the emergence of the new mobile devices and their adaptation to learning processes, we have passed from the mobile learning towards the ubiquitous and the pervasive. The study of several works in pervasive learning allowed us to conclude that the focus is particularly on the adaptation of learning activities to the context of learning. From then on, it seems necessary to widen the notion of adaptation to take into account bijective adaptations between the context and learning activities within mobile learning to ensure also the adaptation of the context of use to the requirements of the learning activities and learner's needs. To ensure this bijective adaptation, a model of context and a model of activity will be mandatory. For that purpose and in an MDD approach (Model Driven Development), ContAct-Us allows: (1) The modeling of the eventual contextual elements of pervasive learning environment as well as the relations between them; (2) The modeling of the learning activities based on the approach CTT; (3) The modeling of the various possible relations between the context and learning activities led within mobile learning scenarios, based on activity theory; (4) Bijective adaptations between context and activity.