Building profiles based on ontology for career recommendation in E-learning context

The proposition of an interactive learning environment (ILE) requires, among other things, an advance consideration of learners' specificities. With the emergence of new information technologies, the construction of learners' profiles aims to personalize the `ILE'. These environments, especially those of E-learning type are one of the tools that have been integrated in many university programs, while middle and high schools are less concerned. In this study, we proposed a model of E-learning environment that supports and orientates students during their studies from an early age (9th graders). We described a method enabling system to classify students depending on their school levels and also their personal and professional tendencies. This semantic classification integrated within ontology will help the system to build students' profiles. Then, our system will be able to guide them in an optimal and personalized career pathway (CP) and make a decision about interface content recommended to each profile. To evaluate the effectiveness of the proposed approach, an experiment was conducted on students from middle school.