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Real users, real results: examining the limitations of learning styles within AEH

Brown, Elizabeth; Fisher, Tony and Brailsford, Tim (2007). Real users, real results: examining the limitations of learning styles within AEH. In: Eighteenth Conference on Hypertext and Hypermedia [HT '07], 10-12 Sep 2007, Manchester, UK.

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This paper examines the current state of AEH (adaptive educational hypermedia) research into explicit learning style modelling for user personalisation. It addresses the problem of non-naïve test subjects, who are often in user trials, thus contributing to experimental bias. Instead, the authors suggest using "real people", i.e. users with a range of backgrounds and abilities, in order to gain a truer insight into evidence-based research.

We report on a study carried out with "real" users: around 80 children at a UK primary school. The study investigated sequential and global learning styles as a personalisation mechanism in an AEH system. The user trial involved matching and mismatching users and learning environments to see if learning improved. The AEH system used by the children was DEUS, a new e-learning platform that is conceptually similar to WHURLE, an AEH that also used learning styles as its user model.

No statistically significant differences were found between experimental groups, learning style preferences or learning environments. We discuss the significance of this, and then critically analyse the use of learning styles in relation to this study and also in the wider context.

Item Type: Conference or Workshop Item
Copyright Holders: 2007 ACM
Extra Information: ISBN: 978-1-59593-820-6
Keywords: measurement; design; experimentation; human factors; theory; adaptive educational hypermedia; learning styles; user modelling; DEUS; user trials; real users
Academic Unit/School: Institute of Educational Technology (IET)
Research Group: Centre for Research in Education and Educational Technology (CREET)
Item ID: 29998
Depositing User: Elizabeth FitzGerald
Date Deposited: 10 Nov 2011 09:14
Last Modified: 14 Dec 2019 18:33
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