Brown, Elizabeth; Brailsford, Tim; Fisher, Tony and Moore, Adam
(2009).
 | There is a more recent version of this eprint available. Click here to view it. |
|
Due to copyright restrictions, this file is not available for public download Click here to request a copy from the OU Author. |
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1109/TLT.2009.11 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
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.
| Item Type: | Journal Article |
|---|---|
| Copyright Holders: | 2009 IEEE |
| ISSN: | 1939-1382 |
| Keywords: | evaluation/methodology; adaptive hypermedia; user issues; computer-assisted instruction; human information processing |
| Academic Unit/Department: | Institute of Educational Technology |
| Related URLs: | |
| Item ID: | 29997 |
| Depositing User: | Elizabeth FitzGerald |
| Date Deposited: | 10 Nov 2011 09:05 |
| Last Modified: | 26 Oct 2012 01:17 |
| URI: | http://oro.open.ac.uk/id/eprint/29997 |
Available Versions of this Item
- Personalization in adaptive systems: quantitative methods and approaches. (deposited 10 Nov 2011 09:05) [Currently Displayed]
Actions (login may be required)
| View Item | |
| Public: Report issue / request change |