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

  • Ioannis Panagiotopoulos
  • Aikaterini Kalou
  • Christos Pierrakeas
  • Achilles Kameas
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 381)

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.

Keywords

Ontology intelligent tutoring systems stereotypes personalized learning student model 

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Copyright information

© IFIP International Federation for Information Processing 2012

Authors and Affiliations

  • Ioannis Panagiotopoulos
    • 1
  • Aikaterini Kalou
    • 1
  • Christos Pierrakeas
    • 1
  • Achilles Kameas
    • 1
  1. 1.Educational Content, Methodology and Technology Laboratory (e-CoMeT Lab.)Hellenic Open UniversityPatrasGreece

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