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International audience; 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.

International audience; Aujourd’hui, les établissements d’enseignement, tels que les universités, de plus enplus offrent des contenus d’E -Learning. Certains de ces cours sont utilisés avec l'enseignementtraditionnel (face à face ou présentiel), tandis que d'autres sont utilisés entièrement enligne. La création de contenu d'apprentissage est une tâche principale dans tous les environnementsd'apprentissage en ligne. Les contraintes de réduire au minimum le temps nécessairepour développer un contenu d'apprentissage, d'augmenter sa qualité scientifique et de l'adapterà de nombreuses situations, ont été un principal objectif et donc plusieurs approches etméthodes ont été proposées. En outre, les caractéristiques intellectuelles et sociales, ainsi queles styles d'apprentissage des individus, peuvent être très différents. Dans ce travail, nousdéveloppons un système collaboratif pour créer et annoter le contenu éducatif en utilisant lesystème multi-agents. La contribution de notre système est l'hybridation des techniquesd'adaptation avec celles de la collaboration et du Web sémantique (ontologie, annotation).Nous représentons les profils des apprenants et le contenu d'apprentissage en utilisant desontologies et des annotations pour répondre à la diversité et aux besoins individuels desapprenants. Nous utilisons le paradigme agent, dans la phase d’implémentation de notresystème, pour bénéficier des points forts de ce paradigme tels que la modularité, autonomie,flexibilité... etc

International audience; The knowledge transmitting process from the author to learners does not require only the providing of a simple learning content, but also a set of information about the content (metadata) to ensure an accurate learning process. In addition, the huge amount of educational material exists in a distance learning environment usually confuses learners and does not help to choose the pertinent content for each learner. In the field of E-Learning, the Semantic Web is considered as a promising technology to make the educational content easily accessible and interpretable by software agents. Moreover, it allows communication according to a semantic basis between human agents and machines. In this paper, we propose an ontological approach for the organization of courses around small pieces of semantically annotated learning objects. This annotation of learning content facilitates the organization and understanding of these contents by the machine, and accelerates the delivery of relevant documents in time. In our designed approach, the teacher achieves a main task, he creates the learning content and provides all the necessary information for the annotation of this content, these annotations will play the main role to choose and adapt the relevant contents for each learner.

International audience; The creation of learning content is a main task in any E-learning environment. The constraints of minimizing the time required for developing a learning content and for increasing its scientific quality, have been a principal aim, in the last decade. Thus, several approaches and methods were proposed to reach this aim. Moreover, the intellectual and social characteristics, as well as the learning styles of individuals, can be very different. These differences lead persons to adapt the learning content by taking into account the learners profiles and their objectives. It is indispensable to annotate the learning content using additional information about the learner and the learning content. Therefore, we develop a cooperative system, where several authors work in acooperative manner, to create and edit educational content using multi-agent system. The contributionof our system is the hybridization of adaptation techniques with those of cooperation and indexing(annotation) of the learning content to meet the diversity and individual needs of the learners.