In-Depth Analysis of the Felder-Silverman Learning Style Dimensions

TLDR

Learning styles are increasingly incorporated into technology‑enhanced learning, with growing research and richer data enabling better accommodation and integration into educational technology. The study aims to analyze data on learning styles using the Felder‑Silverman model to provide a more detailed description of learning style dimensions. The authors analyze data about learning styles with respect to the FSLSM. The analyses reveal the most representative characteristics of each FSLSM dimension and quantify their representativeness, offering additional information about the dimensions. The findings are particularly relevant for integrating learning styles into technology‑enhanced learning.

Abstract

AbstractLearning 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.Keywords: learning stylesFelder-Silverman modeldata miningstudent modelling