Peter, S.E., Dastbaz, M. and Bacon, E. (2008) Evaluation of a suitable learning style for iLearn: a personalised e-learning platform. E-Learn 2008 Proceedings: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008. Ed/ITLib Digital Library, Association for the Advancement of Computing in Education (AACE), Chesapeake, VA, USA, pp. 447-453.

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Abstract

Brusilovsky and Millan (2007) state that learning styles are typically defined as the way people prefer to learn. Learning styles and how we learn is a vast research area and many research projects (SMILE, INSPIRE, iWeaver amongst others) attempt to incorporate these learning styles into e-Learning systems. This paper describes commonly used learning styles and how they are currently being used within the area of adaptive e-Learning. This work also builds upon current research and evaluates learning styles using criteria proposed by Sampson and Karagiannidis (2004) in order to select a suitable learning methodology for the iLearn e-Learning platform. The Sampson and Karagiannidis (2004) criteria is adapted for the purpose of the research and describes the measurability, time effectiveness and descriptiveness and prescriptiveness of the specific learning style. A suitable learning style for the iLearn e-Learning platform is then proposed within the paper and finally the research briefly introduces how the chosen learning style will be used for the proposed e-Learning platform.

Item Type:	Book Section
Additional Information:	This paper forms part of the Proceedings of the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008, which took place in Las Vegas, Nevada, USA on 17-21 November 2008. (Held on CD ROM). Copyright by AACE. Reprinted from the Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008, with permission of AACE (http://www.aace.org).
Uncontrolled Keywords:	evaluation, learning style, personalization, e-learning
Subjects:	L Education > LB Theory and practice of education Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Computer & Computational Science Research Group School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media School of Computing & Mathematical Sciences > eCentre
Related URLs:	Publisher
Last Modified:	14 Oct 2016 09:03
URI:	http://gala.gre.ac.uk/id/eprint/1206

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