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

Spiteri, Christine and De Raffaele, Clifford and Smith, Serengul (2017) Bridging the digital divide for e-learning students through adaptive VLEs. In: 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE 2016), 07-09 Dec 2016, Bangkok, Thailand.

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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

Item Type: Conference or Workshop Item (Paper)
Keywords (uncontrolled): VLE; adaptation; customisation; digital divide; e-learning; optimisation
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 20966
Notes on copyright: © 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.
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Depositing User: Serengul Smith
Date Deposited: 22 Nov 2016 12:18
Last Modified: 07 Dec 2018 08:22
URI: http://eprints.mdx.ac.uk/id/eprint/20966

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