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Edited by Dr. Lynne Schrum, George Mason University
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| formerly Journal of Research on Computing in Education |
Volume 40 Number 1 Fall 2007
In-Depth Analysis of the Felder-Silverman Learning Style Dimensions
Sabine Graf
Vienna University of Technology, Austria
Silvia Rita Viola and Tommaso Leo
Universita Politecnica delle Marche, Italy
Kinshuk
Athabasca University, Canada
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.
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the full article (PDF, 176 KB)
Contributors
Sabine Graf is Graduate Researcher at Vienna University of Technology, Womens
Postgraduate College for Internet Technologies, in Austria. She is also researcher
at Advanced Learning Technology Research Centre of Massey University, New Zealand.
Her research interests include adaptivity in Webbased educational systems, student
modelling, and artificial intelligence. (sabine.graf@ieee.org)
Silvia Rita Viola was born in 1976. In 2001 she graduated with a degree in
philosophy at the University of Pisa. On February, 2006, she earned a PhD in
e-learning at the Universita Politecnica delle Marche, Ancona, Italy.
Her research interests are in mathematical models of World Wide Web data, learning
process characterization by data driven approaches and mathematical bioengineering
modelling. She is currently with the Universita Politecnica delle Marche
as a research associate and with the University for Foreigners in Italy, as
lecturer for the course titled Knowledge Engineering. (sr.viola@gmail.com)
Kinshuk joined Athabasca University in August 2006 as the professor and director
of the School of Computing and Information Systems. Before moving to Canada,
Kinshuk worked at the German National Research Centre for Information Technology
as a postgraduate fellow, and at Massey University, New Zealand, as an associate
professor of Information Systems and director of the Advanced Learning Technology
Research Centre. He also holds the Honorary Senior E-Learning Consultant position
with Online Learning Systems Ltd., New Zealand, and the Docent position with
the University of Joensuu, Finland. He has been involved in large-scale research
projects for exploration based adaptive educational environments and has published
extensively in international refereed journals, conferences, and book chapters.
He is chair of the IEEE Technical Committee on Learning Technology and International
Forum of Educational Technology & Society. He is also editor of the SSCI
indexed Journal of Educational Technology & Society (kinshuk@ieee.org)
Tommaso Leo, born in 1944, is full professor at the Chair of Automatic Control-Ancona
University since 1981. He is author and co-author of more than 200 papers, editor
of some books and special issues in journals. He is a member of several scientific
societies. He has been involved in several national and international research
funded programs. His research interests are in analysis and modelling of human
motor behaviour, measurement systems and techniques, signal processing and optimal
filtering, adaptive control and system identification, friendly interfaces in
biomedicine, Web-based applications for learning and accreditation, and in assistive
robotics. (tommaso.leo@univpm.it)
Copyright 2007, (International Society for Technology in Education). All
rights reserved.
| learning styles,
Felder-Silverman model, data mining, student modelling |
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