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A context-adaptive model for mobile learning applications

Authors
Ghim, SJYoon, YKRa, I
Issue Date
2004
Publisher
SPRINGER-VERLAG BERLIN
Citation
WEB INFORMATION SYSTEMS - WISE 2004 WORKSHOPS, PROCEEDINGS, v.3307, pp.102 - 113
Journal Title
WEB INFORMATION SYSTEMS - WISE 2004 WORKSHOPS, PROCEEDINGS
Volume
3307
Start Page
102
End Page
113
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/16119
DOI
10.1007/978-3-540-30481-4_10
ISSN
0302-9743
Abstract
Emerging technologies, such as multimedia and mobile computing, require a high adaptable middleware platform which provides more flexible services to those applications in heterogeneous computing environments. To support persistent services in distributed wired/wireless environments for advanced learning systems, it is required for applications and middleware to be aware of the frequent and unpredictable changes in users' requirements as well as environmental conditions, and to be able to adapt their behavioural changes. One of the main limitations of current approaches for supporting adaptability is that applications themselves are responsible for triggering and adaptive mechanism when the underling infrastructure notifies them about any changes. In this paper, we present the designing a component-based context-adaptive model for context-aware mobile learning applications to support dynamic adaptation, and demonstrate our being developed mobile agents: adaptation, configuration, and meta agents, that help applications to adapt their computing environments according to rapidly changing contexts such as user-specific preference, application-specific preference, and low-level configurations.
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