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Learning styles, personalisation and adaptable e-learning

Learning styles, personalisation and adaptable e-learning

Peter, S.E., Bacon, E. and Dastbaz, M. (2009) Learning styles, personalisation and adaptable e-learning. In: Uhomoibhi, James, Ross, Margaret and Staples, Geoff, (eds.) Fourteenth International Conference on Software Process Improvement Research, Education and Training, INSPIRE 2009. The British Computer Society, Swindon, UK, pp. 77-87. ISBN 978-1-906124-22-9

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Abstract

Common Learning Management Systems (for example Moodle [1] and Blackboard [2]) are limited in the amount of personalisation that they can offer the learner. They are used widely and do offer a number of tools for instructors to enable them to create and manage courses, however, they do not allow for the learner to have a unique personalised learning experience. The e-Learning platform iLearn offers personalisation for the learner in a number of ways and one way is to offer the specific learning material to the learner based on the learner's learning style. Learning styles and how we learn is a vast research area. Brusilovsky and Millan [3] state that learning styles are typically defined as the way people prefer to learn. Examples of commonly used learning styles are Kolb Learning Styles Theory [4], Felder and Silverman Index of Learning Styles [5], VARK [6] and Honey and Mumford Index of Learning Styles [7] and many research projects (SMILE [8], INSPIRE [9], iWeaver [10] amonst others) attempt to incorporate these learning styles into adaptive e-Learning systems. This paper describes how learning styles are currently being used within the area of adaptive e-Learning. The paper then gives an overview of the iLearn project and also how iLearn is using the VARK learning style to enhance the platform's personalisation and adaptability for the learner. This research also describes the system's design and how the learning style is incorporated into the system design and semantic framework within the learner's profile.

Item Type: Book Section
Additional Information: This paper forms part of the proceedings (entitled INSPIRE XIV: Technology Supported Education and Process Improvement) of the British Computer Society Quality Specialist Group's Fourteenth International Conference on Software Process Improvement Research, Education and Training, INSPIRE 2009, held 6-8 April, 2009, Southampton Solent University, Hampshire, UK.
Uncontrolled Keywords: learning styles, personalisation, e-learning, learning management systems, learner, iLearn, VARK learning style
Subjects: L Education > LB Theory and practice of education > LB2300 Higher 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:
Last Modified: 14 Oct 2016 09:05
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1888

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