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Energy-aware Mobile Learning : Opportunities and challenges

Moldovan, Arghir-Nicolae, Weibelzahl, Stephan and Muntean, Cristina Hava (2014) Energy-aware Mobile Learning : Opportunities and challenges. IEEE Communications Surveys and Tutorials, 16 (1). pp. 234-265. ISSN 1553-877X

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As mobile devices are becoming more powerful and affordable they are increasingly used for mobile learning activities. By enabling learners' access to educational content anywhere and anytime, mobile learning has both the potential to provide online learners with new opportunities, and to reach less privileged categories of learners that lack access to traditional e-learning services. Among the many challenges with mobile learning, the battery-powered nature of mobile devices and in particular their limited battery life, stands out as one issue that can significantly limit learners' access to educational content while on the move. Adaptation and personalisation solutions have widely been considered for overcoming the differences between learners and between the characteristics of their mobile devices. However, while various energy saving solutions have been proposed in order to provide mobile users with extended device usage time, the areas of adaptive mobile learning and energy conservation in wireless communications failed to meet under the same umbrella. This paper bridges the two areas by presenting an overview of adaptive mobile learning systems as well as how these can be extended to make them energy-aware. Furthermore, the paper surveys various approaches for energy measurement, modelling and adaptation, three major aspects that have to be considered in order to deploy energy-aware mobile learning systems. Discussions on the applicability and limitations of these approaches for mobile learning are also provided.

Item Type: Article
Subjects: L Education > LC Special aspects / Types of education > E-Learning > M-Learning (Mobile Learning)
L Education > LC Special aspects / Types of education > Distance Learning > M-Learning (Mobile Learning)
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 17 May 2014 10:29
Last Modified: 24 Sep 2014 15:01

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