Online from: 1984
Subject Area: Education
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|Title:||Adaptable, personalised e-learning incorporating learning styles|
|Author(s):||Sophie E. Peter, (School of Computing and Mathematical Sciences, The University of Greenwich, Greenwich, UK), Elizabeth Bacon, (School of Computing and Mathematical Sciences, The University of Greenwich, Greenwich, UK), Mohammad Dastbaz, (School of Computing, Information Technology and Engineering, University of East London, London, UK)|
|Citation:||Sophie E. Peter, Elizabeth Bacon, Mohammad Dastbaz, (2010) "Adaptable, personalised e-learning incorporating learning styles", Campus-Wide Information Systems, Vol. 27 Iss: 2, pp.91 - 100|
|Keywords:||E-learning, Learning styles, Personal needs|
|Article type:||Research paper|
|DOI:||10.1108/10650741011033062 (Permanent URL)|
|Publisher:||Emerald Group Publishing Limited|
Purpose – The purpose of this paper is to discuss how learning styles and theories are currently used within personalised adaptable e-learning adaptive systems. This paper then aims to describe the e-learning platform iLearn and how this platform is designed to incorporate learning styles as part of the personalisation offered by the system.
Design/methodology/approach – The paper discusses how learning styles and theories are currently being used within the area of adaptive e-learning and describes current research within this area. This paper then gives an overview of the iLearn project and describes 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.
Findings – The findings describe how the final implemented iLearn platform intends to address the issues found with the limited personalisation within common learning management systems and intends to provide the learner with a personalised learning experience.
Originality/value – Adaptability and personalisation are large research areas, however, many limitations have been found during the current research. This research project, therefore adds value to this by proposing a system which will address the current personalisation limitations.
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