The Optimization by Using the Learning Styles in the Adaptive Hypermedia Applications

Abstract

This article addresses the learning style as a criterion for optimization of adaptive content in hypermedia applications. First, the authors present the different optimization approaches proposed in the area of adaptive hypermedia systems whose goal is to define the optimization problem in this type of system. Then, they present the architecture of their proposed system. The first step involves choosing a learning style model. The selection of this style is done by using a dedicated questionnaire answered by a learner. Then a modeling of the learner is completed based on his learning style. Finally, content that is to be presented to the learner is managed by a content generator module, depending on the model of the learner. Built on methods and techniques proposed for modeling and adaptation, the adaptive hypermedia system based on learning styles provides optimized adaptations. The authors' approach has been experimentally validated and the results are encouraging.

Uyarlanabi̇li̇r Öğrenme Ortamlarinda Felder Ve Silverman Öğrenme Sti̇lleri̇ne Göre Geli̇şti̇ri̇lmi̇ş İçeri̇kleri̇n Öğrenci̇ Başarisi Üzeri̇ndeki̇ Etki̇si̇ni̇n İncelenmesi̇

“…As a matter of fact, it is stated that the learning style should be taken into consideration while the user model is created and adapted in the adaptive educational hypermedia in the literature. (Papanikolaou et al2003, García, Amandi, Schiaffino andCampo, 2007;Ali, Eassa, and Hamed, 2018;Alzain, Clark, Ireson and Jwaid, 2018;Hamza and Tlili, 2018).…”

Adaptation to the Context in M-Learning Application Using Mobile Design Patterns

“…The same content of each has several views. The learning concept is showing to the learner according to their profile [11] and to the mobile device context used.…”