Learner Modelling Using Semantic Web Technology

Nowadays, e-learning needs to be more adaptive and flexible to support learners. However, most current e-learning systems provide the same content for learners with different requirements. They ignore learners’ differences in for example learning styles, cognitive styles, knowledge levels and backgrounds. The problem of delivering the same content to all learners can be addressed by adapting the content to each individual’s needs. This paper presents a novel ontology-based approach to represent learner’s profile in an attempt to get closer to a personalized e-Learning system

کلیدواژه ها:

Learner mode ، Ontology ، Personalized learning ، Semantic technology