Brown, E. J.; Brailsford, T. J.; Fisher, T. and Moore, A.
This is the latest version of this eprint.
|DOI (Digital Object Identifier) Link:||https://doi.org/10.1109/TLT.2009.11|
|Google Scholar:||Look up in Google Scholar|
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.
|Item Type:||Journal Article|
|Copyright Holders:||2009 IEEE|
|Extra Information:||Special Issue on Personalization|
|Keywords:||evaluation/methodology; adaptive hypermedia; user issues; computer-assisted instruction; human information processing|
|Academic Unit/School:||Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
|Interdisciplinary Research Centre:||Centre for Research in Education and Educational Technology (CREET)|
|Depositing User:||Elizabeth FitzGerald|
|Date Deposited:||25 Nov 2011 09:21|
|Last Modified:||18 Feb 2017 03:00|
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Personalization in adaptive systems: quantitative methods and approaches. (deposited 10 Nov 2011 09:05)
- Evaluating learning style personalization in adaptive systems: quantitative methods and approaches. (deposited 25 Nov 2011 09:21) [Currently Displayed]