Using Learning Analytics and Learning using Learning Styles to Personalise Content in Adaptive Educational Systems

K McCusker, J Harkin, S Wilson, MJ Callaghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The efforts towards providing personalised e-learning is an increasing trend due to the fact that content provision is usually a one size fits all approach. Students have different learning styles, skills and needs which dictate the way in which they learn. This paper presents an adaptive educational system called iPal (Integrated Personalised Assessment in Learning). iPal is designed to be a more effective learning environment to satisfy the online delivery of practical Science, Technology, Engineering and Maths (STEM) subjects, as a supplementary course tool in higher education. The practical approach of iPal specifically addresses the lack of game based learning in adaptive educational systems. The focus of this paper is based on a two tiered approach using the implicit approach of learning analytics and the explicit approach of learning styles to personalise content in iPal. This paper discusses how these approaches are effective enablers in the delivery of personalised content. A case study demonstrating the practical application of the iPal system is presented comprising of over 100 undergraduate Computing students. The key significance of this research is that it provides clear evidence for the successful use of iPal as a supplementary course tool in higher education.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages7064-7073
Number of pages10
Publication statusPublished - 7 Jul 2014
Event6th International Conference on Education and New Learning Technologies (EDULEARN) -
Duration: 7 Jul 2014 → …

Conference

Conference6th International Conference on Education and New Learning Technologies (EDULEARN)
Period7/07/14 → …

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educational system
learning
electronic learning
education
learning environment
student
engineering
lack
trend
science

Cite this

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title = "Using Learning Analytics and Learning using Learning Styles to Personalise Content in Adaptive Educational Systems",
abstract = "The efforts towards providing personalised e-learning is an increasing trend due to the fact that content provision is usually a one size fits all approach. Students have different learning styles, skills and needs which dictate the way in which they learn. This paper presents an adaptive educational system called iPal (Integrated Personalised Assessment in Learning). iPal is designed to be a more effective learning environment to satisfy the online delivery of practical Science, Technology, Engineering and Maths (STEM) subjects, as a supplementary course tool in higher education. The practical approach of iPal specifically addresses the lack of game based learning in adaptive educational systems. The focus of this paper is based on a two tiered approach using the implicit approach of learning analytics and the explicit approach of learning styles to personalise content in iPal. This paper discusses how these approaches are effective enablers in the delivery of personalised content. A case study demonstrating the practical application of the iPal system is presented comprising of over 100 undergraduate Computing students. The key significance of this research is that it provides clear evidence for the successful use of iPal as a supplementary course tool in higher education.",
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McCusker, K, Harkin, J, Wilson, S & Callaghan, MJ 2014, Using Learning Analytics and Learning using Learning Styles to Personalise Content in Adaptive Educational Systems. in Unknown Host Publication. pp. 7064-7073, 6th International Conference on Education and New Learning Technologies (EDULEARN), 7/07/14.

Using Learning Analytics and Learning using Learning Styles to Personalise Content in Adaptive Educational Systems. / McCusker, K; Harkin, J; Wilson, S; Callaghan, MJ.

Unknown Host Publication. 2014. p. 7064-7073.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The efforts towards providing personalised e-learning is an increasing trend due to the fact that content provision is usually a one size fits all approach. Students have different learning styles, skills and needs which dictate the way in which they learn. This paper presents an adaptive educational system called iPal (Integrated Personalised Assessment in Learning). iPal is designed to be a more effective learning environment to satisfy the online delivery of practical Science, Technology, Engineering and Maths (STEM) subjects, as a supplementary course tool in higher education. The practical approach of iPal specifically addresses the lack of game based learning in adaptive educational systems. The focus of this paper is based on a two tiered approach using the implicit approach of learning analytics and the explicit approach of learning styles to personalise content in iPal. This paper discusses how these approaches are effective enablers in the delivery of personalised content. A case study demonstrating the practical application of the iPal system is presented comprising of over 100 undergraduate Computing students. The key significance of this research is that it provides clear evidence for the successful use of iPal as a supplementary course tool in higher education.

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