Département d'Informatique

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Browsing Département d'Informatique by Subject "Research Subject Categories::MATHEMATICS::Applied mathematics::Optimization, systems theory"

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    Optimisation à l’aide de styles d’apprentissage dans les applications hypermédia adaptatives
    (2019) HAMZA, Lamia
    Adaptive Hypermedia Systems (AHS) are Hypermedia Systems capable of adapting the presentation of content, information formats and navigation options to the characteristics of their potential users. Their goal is to provide the main information and the most appropriate formats to each user. In AHS, several adaptations can be found for a single learner. In this sense, the most appropriate information is the information most adapted to a learner. So the question is: What is the most optimized adaptation for a learner? Some AHS have incorporated cognitive styles or learners' learning styles as distinctive features of adaptation. This new way of adjusting information to each type of learners takes into account the fact that they do not all reach the same level of performance with the same type of education; they require learning strategies tailored to their ways of dealing with and perceiving information. AHS based on learning styles use different models of these styles to offer different ways of adaption. These systems consider that adapting to learning styles is an important task that must be taken into account during the design phase of the pedagogical sequences. However, AHSs based on learning styles cannot guarantee that the adaptation provided to the learner is the most appropriate adaptation for him. So the questions asked in this area are: Is the adaptation provided to the learner the most appropriate adaptation for him? How to optimize the adaptation provided to the learners? The objective of our work is to propose an adaptive hypermedia system based on learning styles to deliver optimized adaptation to different learners