Skip to main content

Research Repository

Advanced Search

Evaluating Learning Style Personalization in Adaptive Systems: Quantitative Methods and Approaches

Brown, Elizabeth J.; Brailsford, Timothy J; Fisher, Tony; Moore, Adam

Authors

Elizabeth J. Brown

Tony Fisher

Adam Moore



Abstract

It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art in relation to quantitative evaluations of such systems and also the methodologies that should be employed in such evaluations. We present two case studies that provide rigorous and quantitative evaluations of learning-style-adapted e-learning environments. We believe that the null results of both these studies indicate a limited usefulness in terms of learning styles for user modeling and suggest that alternative characteristics or techniques might provide a more beneficial experience to users. © 2009, The Institute of Electrical and Electronics Engineers, Inc.

Journal Article Type Article
Acceptance Date Feb 8, 2009
Online Publication Date Feb 20, 2009
Publication Date Jan 1, 2009
Deposit Date Sep 20, 2018
Journal IEEE Transactions on Learning Technologies
Print ISSN 1939-1382
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 2
Issue 1
Pages 10-22
DOI https://doi.org/10.1109/TLT.2009.11
Keywords evaluation/methodology, adaptive hypermedia, user issues, computer-assisted instruction, human information processing
Public URL https://uwe-repository.worktribe.com/output/998722
Publisher URL http://dx.doi.org/10.1109/TLT.2009.11
Contract Date Sep 20, 2018