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Supporting Content Contextualization in Web Based Applications on Mobile Devices
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0001-9062-1609
Linnaeus University, Faculty of Technology, Department of Media Technology. University of Applied Sciences Ruhr West. Germany. (CeLeKT)ORCID iD: 0000-0001-7072-1063
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0002-6937-345X
2013 (English)In: Proceedings of the 9th International Conference on Web Information Systems and Technologies: Aachen, Germany, 8-10 May, 2013 / [ed] Karl-Heinz Krempels, Alexander Stocker, SciTePress, 2013, p. 501-504Conference paper, Published paper (Refereed)
Abstract [en]

Mobile devices, in the form of smartphones, are endowed with rich capabilities in terms of multimedia, sensors and connectivity. The wide adoption of these devices allows using them across different settings and situations. One area in which mobile devices become more and more prominent is within the field of mobile learning. Here, mobile devices provide rich possibilities for the contextualization of the learner, by using the set of sensors available in the device. On the one hand, the usage of mobile devices enables participation in learning activities independent of time and space. Nevertheless, developing mobile learning applications for the heterogeneity of mobile devices available in the market becomes a challenge. Not only this is a problem related to form factor aspects, but also the large number of different operating systems, platforms and app infrastructures (app stores) are aspects to be considered. In this paper we present our initial efforts with regard to the development of cross-platform mobile applications to support the contextualization of learning content. 

Place, publisher, year, edition, pages
SciTePress, 2013. p. 501-504
Keywords [en]
mobile learning applications, context detection, cross platform development, content adaptation.
National Category
Computer Sciences Interaction Technologies
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-25996DOI: 10.5220/0004405005010504Scopus ID: 2-s2.0-84887093051ISBN: 978-989-8565-54-9 (print)OAI: oai:DiVA.org:lnu-25996DiVA, id: diva2:624540
Conference
9th International Conference on Web Information Systems and Technologies (WEBIST), May 8-10, 2013, Aachen
Available from: 2013-06-01 Created: 2013-06-01 Last updated: 2018-01-11Bibliographically approved

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