Work in progress - ASAP: an automatic student adapted learning path generator

Abstract

Thanks to the technological improvements of recent years, distance education today represents a real and effective tool for integrate (and sometimes substitute) the traditional formative processes. In literature, it is widely recognized that an important component of this success is related with the ability "to customize" the learning process for the specific needs of a given learner. This ability is still far to have been reached and there is a lot of interest in investigating new approaches and tools to adapt the formative process on the specific individual needs. In this paper, we present and discuss a model to capture information about learning style and capabilities of students; this information is successively used to select the most suitable learning objects and to arrange them in "adapted" learning paths. We discuss experimental results in using our approach