Fuzzy student model in InterMediActor platform

The paper deals with personalization of navigation in the educational content, introduced in a competence-based instructional design system InterMediActor. The system constructs an individualized navigation graph for each student and thus suggests the learning objectives the student is most prepared to attain. The navigation tools rely on the graph of dependencies between competences, and the student model. We use fuzzy set theory for dealing with uncertainty in the assessment of students: the marks of assessment tests are transformed into linguistic terms, which are assigned to linguistic variables. Fuzzy IF-THEN rules are applied to obtain the appropriate categories of competences in the navigation graph