Ontology-based Learner Modeling in Intelligent Tutoring Systems

The paper presents developing a web-based intelligent tutoring system named LEWITS. LEWITS (Learner Ontology Web-Based Intelligent Tutoring System) is aimed to use an ontology based student model and adaptation scenario of learning materials tailoring to individual student characteristics conceptualized in LeMONT ontology. The proposed learner modeling system relies on learner ontology, using Semantic Web technologies, based on the IMS LIP specifications and extended with new Psychological preferences concept. The LEWITS system architecture with its components Learner Profile Editor and Learner Modeler, suited for implicit and explicit ontology-based user modeling, is presented. It is also shown that LEWITS is modeling student data using certainty factor theory and fuzzy logic. Implementation issues are also discussed and explained in detail.