Design and usability evaluation of adaptive e-learning systems based on learner knowledge and learning style

Mohammad Alshammari*, Rachid Anane, Robert J. Hendley

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

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 elearning system. This may also increase the level of satisfaction, engagement and motivation of learners and therefore enhance their learning.

Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2015
Subtitle of host publication15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II
EditorsJulio Abascal , Simone Barbosa, Mirko Fetter, Tom Gross, Philippe Palanque, Marco Winckler
PublisherSpringer
Pages584-591
Number of pages8
Volume9297
ISBN (Electronic) 9783319226682
ISBN (Print)9783319226675
DOIs
Publication statusPublished - 2015
Event15th IFIP TC 13 International Conference on Human–Computer Interaction, INTERACT 2015 - Bamberg, Germany
Duration: 14 Sep 201518 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume9297
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th IFIP TC 13 International Conference on Human–Computer Interaction, INTERACT 2015
Country/TerritoryGermany
CityBamberg
Period14/09/1518/09/15

Keywords

  • Adaptivity
  • E-learning
  • Experimentation
  • Learning style
  • Usability

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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