Dynamic User Modeling and Adaptation Based on Learning Styles for Supporting Semi-Automatic Generation of IMS Learning Design

In the context of virtual learning environments, it is difficult to find proposals addressing both problems at the same time, user modeling and adaptation processes based on learning styles. In particular, for the teachers, these processes require huge amounts of time and effort in the course construction, which most of the times is not recognized by the educational institutions. The main issue discussed in this paper is the creation of a dynamic user model based on learning styles (LS) to enrich and to support the automatic generation of an adaptive IMS learning design (LD) in order to reduce the amount of time and efforts for teachers providing learners with personalized learning experiences.