In e-Iearning environments, collect data on users from their activities traces is crucial. It permits to improve the adaptation process and the development of pedagogical tools.Modeling users in e-Iearning environment is largely looked in research. Nevertheless, sharing and reusing user data jointly in different environments is yet overlooked. In this context, the question that arises is: How to update systematically different environments after activities performed by a user in a given environment?In this paper, we address this question and we propose a solution which updates systematically diverse models of different environments based on the activities performed by a user in a given environment.
Many Learning Management Systems (LMS) are available today and they are widely used. Many e-learners use two or more LMS simultaneously for different kinds of learning. The research question discussed in this paper is: how learners can beneficiate from their learning activities whatever the used LMS? We propose in this paper our approach to support the sharing of learners' activity traces when an elearner uses simultaneously heterogeneous LMS. Use cases demonstrating the advantage of using our approach are given. The state of the art is presented. Finally the elements of our approach are explained.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.