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About the Contextualization of Learning Objects in Mobile Learning Settings
Linnaeus University, Faculty of Technology, Department of Media Technology. (CeLeKT)ORCID iD: 0000-0001-9062-1609
University of Applied Sciences, Ruhr West Bottrop, 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: QScience Proceedings: Vol. 2013, 12th World Conference on Mobile and Contextual Learning (mLearn 2013), Qatar: QScience.com , 2013, 67-70 p.Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, many efforts have been undertaken in order to design and deploy learning activities that make use ofmodern mobile devices, like smartphones and tablet PC’s. Hence, new possibilities for supporting these so-called mobilelearning scenarios have risen. One of the major benefits of these kinds of learning scenarios is the possibility of a learnerto have access to learning content independent of time and place and therefore, enabling learners to learn in very differentsituations. In order to support learning across different settings, this paper discusses an approach that allows identifying abest fitting format of a Learning Object (LO) with respect to the current situation of the learner. This approach allows todelivering learning content in a format that may suit the current context of the learner and therefore, it enables seamlesslearning.

Place, publisher, year, edition, pages
Qatar: QScience.com , 2013. 67-70 p.
Series
QScience Proceedings, ISSN 2226-9649 ; 11
Keyword [en]
Contextualized support for mobile learners, Mobile Learning Objects, multidimensional vector space model, similarity metrics
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-31412DOI: 10.5339/qproc.2013.mlearn.11OAI: oai:DiVA.org:lnu-31412DiVA: diva2:686043
Conference
12th World Conference on Mobile and Contextual Learning (mLearn 2013)
Available from: 2014-01-10 Created: 2014-01-10 Last updated: 2016-12-15Bibliographically approved

Open Access in DiVA

mLearn(342 kB)281 downloads
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CiteExportLink to record
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