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Context-Aware Mobile Learning on the Semantic Web
Lakehead University, Canada.
Etisalat University College, United Arab Emirates.
Massey University, New Zealand.ORCID iD: 0000-0002-7312-9089
2008 (English)In: Advances in Ubiquitous Computing: Future Paradigms and Directions / [ed] S. Kouadri Mostefaoui, Z. Maamar and G. M. Giaglis, IGI Global, 2008, 23-44 p.Chapter in book (Refereed)
Abstract [en]

This chapter focuses on the theoretical and technological aspects of designing mobile learning (m-learning) services that deliver context-aware learning resources from various locations and devices. Context-aware learning is an important requirement for next generation intelligent m-learning systems. The use of context in mobile devices is receiving increasing attention in mobile and ubiquitous computing research. In this research work, context reflects timeliness and mobility to nurture pervasive instruction throughout the learning ecosystem. In this context of ubiquity that is supported by a new generation of mobile wireless networks and smart mobile devices, it is clear that the notion of context plays a fundamental role since it influences the computational capabilities of the used technology. In particular, three types of context awareness are being considered in this work —platform-awareness, learner-awareness, and task-awareness. In this research work, these contextual elements are defined at the semantic level in order to facilitate discoverability of context-compliant learning resources, adaptability of content and services to devices of various capabilities, and adaptability of services to task at hand and interaction history. The work presented in this chapter contributes towards this direction, making use of the progress in Semantic Web theory and mobile computing to enable context-aware learning that satisfies learning timeliness and mobility requirements.

Place, publisher, year, edition, pages
IGI Global, 2008. 23-44 p.
Keyword [en]
Ubiquitous learning, semantic web, personalized learning
National Category
Computer and Information Science Computer and Information Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-12832DOI: 10.4018/978-1-59904-840-6.ch002Scopus ID: 2-s2.0-70349551525ISBN: 978-1-59904-840-6 OAI: oai:DiVA.org:his-12832DiVA: diva2:956095
Available from: 2016-08-29 Created: 2016-08-29 Last updated: 2016-08-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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