In-depth analysis of the Felder-Silverman learning style dimensions

Sabine Graf, Silvia Rita Viola, Tommaso Leo, Kinshuk

Research output: Contribution to journalJournal Articlepeer-review

179 Citations (Scopus)

Abstract

Learning styles are increasingly being incorporated into technology-enhanced learning. Appropriately, a great deal of recent research work is occurring in this area. As more information and details about learning styles becomes available, learning styles can be better accommodated and integrated into all aspects of educational technology. The aim of this paper is to analyse data about learning styles with respect to the Felder-Silverman learning style model (FSLSM) in order to provide a more detailed description of learning style dimensions. The analyses show the most representative characteristics of each learning style dimension as well as how representative these characteristics are. As a result, we provide additional information about the learning style dimensions of FSLSM. This information is especially important when learning styles are incorporated in technology-enhanced learning.

Original languageEnglish
Pages (from-to)79-93
Number of pages15
JournalJournal of Research on Technology in Education
Volume40
Issue number1
DOIs
Publication statusPublished - 2007

Keywords

  • Data mining
  • Felder-Silverman model
  • Learning styles
  • Student modeling

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