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Design of an Intelligent Tutorial System based on Ontologies

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 1
Year of Publication: 2014
Authors:
Abderrahim El Mhouti
Azeddine Nasseh
Mohamed Erradi
10.5120/15468-4085

Abderrahim El Mhouti, Azeddine Nasseh and Mohamed Erradi. Article: Design of an Intelligent Tutorial System based on Ontologies. International Journal of Computer Applications 89(1):30-34, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Abderrahim El Mhouti and Azeddine Nasseh and Mohamed Erradi},
	title = {Article: Design of an Intelligent Tutorial System based on Ontologies},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {1},
	pages = {30-34},
	month = {March},
	note = {Full text available}
}

Abstract

Today, environments of e-learning aim increasingly to give the learner an active role in learning in order to build their knowledge. They allow thereby integrating a more learner-centered vision. However, learners show differences between learning modes that suits them best. The problem posed is how to propose to the learner a teaching sequence adequate to his/her profile. This work is at the heart of this issue. It is interested in contributing on ontologies and cognitive theories to describe the learning preferences within the Intelligent Tutorial Systems (ITS). The objective of this paper is to propose a model of ITS, based on ontologies and cognitive theories, for adapting the learning resources proposed to a learner according to his/her learning preferences. The determination of these preferences is done through the analysis of learner behavior relying on his/her indicator MBTI (Myers Briggs Type Indicator). The proposed model integrates the main functionalities of an ITS: profiling, updating of the profile, selection, adaptation and presentation of adequate resources.

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