Educative and Adaptive System for Personalized Learning: Learning Styles and Content Adaptation

Abstract : The use of electronic environment in our life has become inevitable fact. In the educational field, the learners find many difficulties to attend a classical mode of learning (in class) that obliges them to be present according to daily schedule. Thus, the E-learning allows the process of learning anywhere and any when. However, the absence of the teacher, in the E-learning process, leads to the isolation of the learners. Generally, these learners have different backgrounds, preferences, needs, objectives, intellectual abilities and personal characteristics; and they do not understand and acquire the knowledge using the same courses and the same learning styles. Several aspects influence the effective learning process. Thus, different concepts, views and models of learning styles exist in literature. Many models and classifications of learning styles were proposed according to several angles of view. For this aim, we propose an educational system that provides the accurate learning content and use the most appropriate learning style that meets the needs and preference of each learner (personalized learning). Our system provides several learning styles for the learners; however, the essential task is to find the best course and learner style for each learner according to his characteristics. The adaptation of the content and styles allows the dynamicity in the learning process and gives a new chance for many kinds of learners to enhance their knowledge in personal manner. Moreover, the modeling of our system using multi-agents system increases its interaction and flexibility.
Type de document :
Article dans une revue
International Arab Journal of Information Technology (IAJIT), 2017, Vol. 4 ( No. 3), 〈http://www.iajet.org/iajet_files/vol.4/no.%203/4-58619_formatted.pdf〉
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https://hal.archives-ouvertes.fr/hal-01483359
Contributeur : AÏcha-Nabila Benharkat <>
Soumis le : dimanche 5 mars 2017 - 16:05:08
Dernière modification le : vendredi 10 novembre 2017 - 01:20:05

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  • HAL Id : hal-01483359, version 1

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Samir Bourekkache, Okba Kazar, Laïd Kahloul, Samir Tigane, Benharkat Aïcha-Nabila. Educative and Adaptive System for Personalized Learning: Learning Styles and Content Adaptation. International Arab Journal of Information Technology (IAJIT), 2017, Vol. 4 ( No. 3), 〈http://www.iajet.org/iajet_files/vol.4/no.%203/4-58619_formatted.pdf〉. 〈hal-01483359〉

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