Evaluation of Personalization Strategies Based on Fuzzy Logic

Teachers and course authors need to apply various instructional strategies in order to personalize their courses. It is not a trivial task and the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on the personalization strategy to be applied. This paper presents an approach for selecting appropriate personalization strategies according to the feasibility of generating personalized learning scenarios with minimal burden on the author. Two metrics are proposed for putting in order and selecting useful personalization strategies. The calculation of these metrics is automated based on the analyses of the Learning Object Metadata (LOM) standard according to the semantic relations between data elements and learners´ characteristics.