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Semantic web and e-learning

Semantic web and e-learning

Peter, S.E., Dastbaz, M. and Bacon, E. (2008) Semantic web and e-learning. In: Graham, Deryn, (ed.) "e" Teaching and Learning 2008: Workshop Proceedings. Higher Education Academy, Subject Centre for Information and Computer Sciences, Newtownabbey, Belfast, UK. ISBN 978-0-9552005-9-5

Full text not available from this repository.

Abstract

With emergence of "Semantic Web" there has been much discussion about the impact of technologies such as XML and RDF on the way we use the Web for developing e-learning applications and perhaps more importantly on how we can personalise these applications. Personalisation of e-learning is viewed by many authors (see amongst others Eklund & Brusilovsky, 1998; Kurzel, Slay, & Hagenus, 2003; Martinez, 2000; Sampson, Karagiannidis, & Kinshuk, 2002; Voigt & Swatman, 2003) as the key challenge for the learning technologists. According to Kurzel (2004) the tailoring of e-learning applications can have an impact on content and how it's accesses; the media forms used; method of instruction employed and the learning styles supported.
This paper will report on a research project currently underway at the eCentre in University of Greenwich which is exploring different approaches and methodologies to create an e-learning platform with personalisation built-in. This personalisation is proposed to be set from different levels of within the system starting from being guided by the information that the user inputs into the system down to the lower level of being set using information inferred by the system's processing engine.

Item Type: Book Section
Additional Information: This paper forms part of the proceedings of "e" Teaching and Learning Workshop, held 3 June 2008, at the University of Greenwich, London, as a collaboration between the eCentre (University of Greenwich) and the Higher Education Academy, ICS Subject Centre.
Uncontrolled Keywords: semantic web, e-learning, personalisation, ontology, learning methology
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:
Last Modified: 14 Oct 2016 09:03
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/1208

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