Bridging the digital divide for e-learning students through adaptive VLEs

Conference paper


Spiteri, C., De Raffaele, C. and Smith, S. 2016. Bridging the digital divide for e-learning students through adaptive VLEs. 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016). Bangkok, Thailand 07 - 09 Dec 2016 IEEE. pp. 210-217 https://doi.org/10.1109/TALE.2016.7851796
TypeConference paper
TitleBridging the digital divide for e-learning students through adaptive VLEs
AuthorsSpiteri, C., De Raffaele, C. and Smith, S.
Abstract

Virtual Learning Environments (VLEs) are required to be highly effective and easy to use as they serve as the primary institutional portal between students and academics. There are currently a number of challenges that are caused due to the modernized digital divide, with a significant limitation being the inability of information systems to adapt to the users' technological platform, broadband quality and device in use to access the online system. This paper focuses on the limitations that students encounter when accessing VLEs within Higher Educational Institutes (HEIs). This research aims to primarily review and provide critical analysis of current VLE frameworks, as well as assess restrictions based on several demographics including content adaptation and technical aspects. An algorithmic system is developed to analyze students' individualistic needs, undertake adaption and personalization of the VLE, and hence ensure consistent and efficient access to academic web resources and functionalities

Keywordsdigital divide; e-learning; adaptation; customisation; VLE; optimisation
Conference2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016)
Page range210-217
Proceedings Title2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)
ISSN
Electronic2470-6698
ISBN
Electronic9781509055982
Paperback9781509055999
PublisherIEEE
Publication dates
PrintDec 2016
Online13 Feb 2017
Publication process dates
Deposited22 Nov 2016
Accepted24 Aug 2016
Completed07 Dec 2016
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/TALE.2016.7851796
Scopus EID2-s2.0-85015153233
Web of Science identifierWOS:000400475400036
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/7819650/proceeding
Related Output
Has metadatahttp://www.scopus.com/inward/record.url?eid=2-s2.0-85015153233&partnerID=MN8TOARS
LanguageEnglish
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