Skip to main content

Research Repository

Advanced Search

Personalized content provision for virtual learning environments via the semantic web

Wei, L; Wen, Lipeng; Brayshaw, Mike; Gordon, Neil

Authors

L Wei

Lipeng Wen

Mike Brayshaw



Abstract

In this paper we discuss how we may personalize e-learning along three distinct axes, namely: teaching and learning pedagogical philosophies, personalized educational processes to taste and the coordination of these processes during execution. In doing so we are concerned with supporting users' choices of educational options in course delivery via the Web services. In the work presented here, we assess the practical needs of learners and tutors and then the main research problems are analysed from a practical and pragmatic point of view. Following on from this the design of an intelligent virtual learning environment (VLE) is described to map a set of extensive didactic paradigms, which is represented by a system model and architecture. In this system, the semantic information of learning units and processes (e.g. the relationships among units) can be described and integrated in terms of various requirements of our users. As a result instructional materials with a wide variety of executional options and conditions can be built. Furthermore, through reassembling the semantics of learning content according to users' new demands, our target audience (both student and content deliverers) can change their particular educational experience dynamically. This VLE can provide high-powered pedagogy-layered personalization - thus enabling new managed e-learning Web services and applications.

Citation

Wen, L., Brayshaw, M., & Gordon, N. (2012). Personalized content provision for virtual learning environments via the semantic web. Innovation in teaching and learning in information and computer sciences, 11(1), 14-26. https://doi.org/10.11120/ital.2012.11010014

Journal Article Type Article
Online Publication Date Dec 15, 2015
Publication Date 2012-06
Journal Innovation in Teaching and Learning in Information and Computer Sciences
Electronic ISSN 1473-7507
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
Volume 11
Issue 1
Pages 14-26
DOI https://doi.org/10.11120/ital.2012.11010014
Keywords Teaching and learning styles; Personalization; Personalized creation and control of instructional procedures; E-Learning
Public URL https://hull-repository.worktribe.com/output/417567
Publisher URL http://www.heacademy.ac.uk/assets/documents/subjects/ics/ITALICS_journal_June_2012_Compiled.pdf

Files





You might also like



Downloadable Citations