A novel architecture for learner´s profiles interoperability

Generally, many adaptive systems are developed and used in various fields. The effort to build the user´s profile is repeated from one system to another due to the lack of interoperability and synchronization. Therefore, to provide an effective interoperability is a complex challenge due to the evolution of the user´s profiles and its heterogeneity. The user´s profiles evolution is not taken into account in the interoperable system. In our work, we are interested in the educational field. In this context, we propose a novel interoperable architecture allowing the exchange of the learner´s profile information between different adaptive educational cross-systems to provide an access corresponding to the learners´ needs. This architecture is automatically adapted to the learner´s profiles that evolve over time and are syntactically, semantically and structurally heterogeneous. An experimental study shows the effectiveness of our architecture.