%0 Conference Proceedings
%T An Ontology-Based Model for Student Representation in Intelligent Tutoring Systems for Distance Learning
%+ Educational Content, Methodology and Technology Laboratory (e-CoMeT Lab)
%A Panagiotopoulos, Ioannis
%A Kalou, Aikaterini
%A Pierrakeas, Christos
%A Kameas, Achilles
%Z Part 8: Multi Attribute DSS
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI)
%C Halkidiki, Greece
%Y Lazaros Iliadis
%Y Ilias Maglogiannis
%Y Harris Papadopoulos
%I Springer
%3 Artificial Intelligence Applications and Innovations
%V AICT-381
%N Part I
%P 296-305
%8 2012-09-27
%D 2012
%R 10.1007/978-3-642-33409-2_31
%K Ontology
%K intelligent tutoring systems
%K stereotypes
%K personalized learning
%K student model
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01521391/document
%2 https://inria.hal.science/hal-01521391/file/978-3-642-33409-2_31_Chapter.pdf
%L hal-01521391
%U https://inria.hal.science/hal-01521391
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-381