Design and Usability Evaluation of Adaptive e-learning Systems Based on Learner Knowledge and Learning Style - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2015

Design and Usability Evaluation of Adaptive e-learning Systems Based on Learner Knowledge and Learning Style

Mohammad Alshammari
  • Fonction : Auteur
  • PersonId : 1018509
Rachid Anane
  • Fonction : Auteur
  • PersonId : 1018510
Robert J. Hendley
  • Fonction : Auteur
  • PersonId : 1016995

Résumé

Designing effective adaptive e-learning systems, from a usability perspective, represents a challenge because of the complexity of adaptivity in order to meet the diverse requirements of learners. Furthermore, there is a lack of well-designed experimental evaluation of adaptive e-learning systems in general, and of their usability in particular. The aim of this paper is the presentation of an adaptive e-learning system based on learner knowledge and learning style, and of the results of an initial experimental evaluation of the usability of its two modes of operation. This involves comparing the usability of an adaptive version of the system with the usability of a non-adaptive version, in a learning environment with 75 participants. The experiment produced significant results; they indicate that an adaptive e-learning system based on learner knowledge and learning style has a higher level of perceived usability than a non-adaptive e-learning system. This may also increase the level of satisfaction, engagement and motivation of learners and therefore enhance their learning.
Fichier principal
Vignette du fichier
346942_1_En_45_Chapter.pdf (214.42 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01599889 , version 1 (02-10-2017)

Licence

Identifiants

Citer

Mohammad Alshammari, Rachid Anane, Robert J. Hendley. Design and Usability Evaluation of Adaptive e-learning Systems Based on Learner Knowledge and Learning Style. 15th Human-Computer Interaction (INTERACT), Sep 2015, Bamberg, Germany. pp.584-591, ⟨10.1007/978-3-319-22668-2_45⟩. ⟨hal-01599889⟩
241 Consultations
296 Téléchargements

Altmetric

Partager

More