An Empirical Evaluation of Learning Style and Knowledge Level Adaptation

M. Alshammari, Rachid Anane, R. J. Hendley

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents an initial evaluation of different forms of adaptation based on learning style and knowledge level, which were implemented in an adaptive e-learning system. An experiment conducted in a learning context with 174 participants produced significant results in terms of learning gain. They indicate that adaptation based on both learning style and knowledge level yields significantly better learning gain than adaptation based on learning style only, and better than adaptation based on knowledge level only.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science: Intelligent Tutoring Systems
EditorsAlessandro Micarelli, John Stamper, Kitty Panourgia
Place of PublicationSwitzerland
PublisherSpringer Verlag
Pages498-499
Volume9684
ISBN (Print)978-3-319-39583-8, 978-3-319-39582-1
DOIs
Publication statusPublished - 2016
EventIntelligent Tutoring Systems International Conference - Zagreb, Croatia
Duration: 7 Jun 201610 Jun 2016

Conference

ConferenceIntelligent Tutoring Systems International Conference
CountryCroatia
CityZagreb
Period7/06/1610/06/16

Bibliographical note

The full text is not available on the repository.

Keywords

  • Adaptivity
  • Learning style
  • Learner knowledge
  • Evaluation

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    Alshammari, M., Anane, R., & Hendley, R. J. (2016). An Empirical Evaluation of Learning Style and Knowledge Level Adaptation. In A. Micarelli, J. Stamper, & K. Panourgia (Eds.), Lecture Notes in Computer Science: Intelligent Tutoring Systems (Vol. 9684, pp. 498-499). Switzerland: Springer Verlag. https://doi.org/10.1007/978-3-319-39583-8