Learn More
One of the most important features of adaptative e-learning systems is the personalisation according to specific requirements of each individual student. In considering learning and how to improve student learning, these systems must know the way in which an individual learns. In this context, we introduce a new approach for consistent evolution of student(More)
Considering learning and how to improve students’ performances, adaptive educational systems must know the way in which an individual student learns best. In this context, this work presents a comparison between two innovative approaches to automatically detect and precisely adjust students’ learning styles during an adaptive course. These approaches take(More)
Personalization according to specific requirements of an individual student is one of the most important features in adaptive educational systems. Considering learning and how to improve a student's performance, these systems must know the way in which an individual student learns best. In this context, the current work outlines a new approach to(More)
A huge number of studies attest that learning is facilitated if teaching strategies are in accordance with students learning styles, making the learning process more effective and improving students performances. In this context, this paper presents an automatic, dynamic and probabilistic approach for mo-deling students learning styles based on(More)
The aim of this work is to use Theory of Social Representations (Moscovici, 1986), specifically the principles of structural approach (ABRIC, 1993) as a theoretical and methodological basis for diagnostic evaluations. From these references and with the support of software that assists in building the central core of representations, an empirical research(More)
  • 1