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An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning

Abstract : An Intelligent Tutoring System (ITS) offers personalized education to each student in accordance with his/her learning preferences and his/her background. One of the most fundamental components of an ITS is the student model, that contains all the information about a student such as demographic information, learning style and academic performance. This information enables the system to be fully adapted to the student. Our research work intends to propose a student model and enhance it with semantics by developing (or via) an ontology in order to be exploitable effectively within an ITS, for example as a domain-independent vocabulary for the communication between intelligent agents. The ontology schema consists of two main taxonomies: (a) student’s academic information and (b) student’s personal information. The characteristics of the student that have been included in the student model ontology were derived from an empirical study on a sample of students.
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Ioannis Panagiotopoulos, Aikaterini Kalou, Christos Pierrakeas, Achilles Kameas. An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.296-305, ⟨10.1007/978-3-642-33409-2_31⟩. ⟨hal-01521391⟩

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