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A Comprehensive View of Ubiquitous Learning Context Usage in Context-Aware Learning System

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Context-Aware Systems and Applications (ICCASA 2013)

Abstract

Research related to context-aware u-learning system has proliferated during last decades. Systems identified in literature are developed in ad-hoc manner to resolve a specific problem in a given context; however, u-learning systems developers need to have a clear and a general view of how their intended systems make use of the ubiquitous context. The paper details a general descriptive view of context usage within learning systems through three different view-points inspired from Dowson’s work [1]. Each view is capturing a particular aspect of context handling. Then a set of facets is associated to each given aspect in order to study, understand and appropriately describe it. This work would be useful for context-aware u-learning system developers in order to have a clear understanding of the context usage in such systems and to underline the requirements of the u-learning environment to respond. This research is also aimed to establish a structured baseline to help in comparing and evaluating context-aware u-learning systems according to the descriptive system views.

The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-05939-6_37

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Acknowledgment

The authors acknowledge the support of NSERC, iCORE, Xerox, and the research-related gift funding by Mr. A. Markin.

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Correspondence to Raoudha Souabni .

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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Souabni, R., Bayoudh Saadi, I., Kinshuk, Ben Ghezala, H. (2014). A Comprehensive View of Ubiquitous Learning Context Usage in Context-Aware Learning System. In: Vinh, P., Alagar, V., Vassev, E., Khare, A. (eds) Context-Aware Systems and Applications. ICCASA 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-05939-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-05939-6_31

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  • Online ISBN: 978-3-319-05939-6

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