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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

A Context-Aware Mobile Learning System Using Dynamic Content Adaptation for Personalized Learning

verfasst von : Brita Curum, Nigel Chellapermal, Kavi Kumar Khedo

Erschienen in: Emerging Trends in Electrical, Electronic and Communications Engineering

Verlag: Springer International Publishing

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Abstract

Mobile technologies nowadays contribute to greater options to how learners can enhance their learning styles, leaving behind the traditional learning setup. Indeed mobile learning has become an integral part of our everyday life. Mobile learning refers to the use of mobile devices whereby learning is supported independent of the location and activity of the learner. This learning concept considers continual changes of contexts such as locations and the time available to learn within the mobile environment. Given that the current state of the use of contextual information in mobile learning is not extended, this paper put forward a context aware mobile learning system upon which parameters such as intrinsic and extrinsic context are used in order to improve mobile learning experience of the users. This work aims to synthesize a context-aware mobile learning system using dynamic content adaptation to establish personalized learning contents delivery on portable devices.

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Vorheriges Kapitel Performance Analysis of Link Adaptation with MIMO and Varying Channel Estimation Schemes
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Metadaten
Titel
A Context-Aware Mobile Learning System Using Dynamic Content Adaptation for Personalized Learning
verfasst von
Brita Curum
Nigel Chellapermal
Kavi Kumar Khedo
Copyright-Jahr
2017
Buch
Emerging Trends in Electrical, Electronic and Communications Engineering

Print ISBN: 978-3-319-52170-1

Electronic ISBN: 978-3-319-52171-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52171-8_27

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