DocumentCode :
2278078
Title :
Context-Aware Scenarios for Pervasive Long-Life Learning
Author :
Pham-Nguyen, Cuong ; Garlatti, Serge
Author_Institution :
Comput. Sci. Dept., Inst. TELECOM, Brest
Volume :
1
fYear :
2008
fDate :
9-12 Dec. 2008
Firstpage :
824
Lastpage :
827
Abstract :
In the p-LearNet project, we are interested in TEL systems integrating context-aware corporate learning and working activities for e-retail (shops and hypermarkets). The main issues of the p-LearNet project are: work-integrated learning and customer learning support whatever the place, the time, the organisational and technological contexts of the individual or collective learning and working processes. We propose an adaptive and context-aware model of scenario for a pervasive learning system. This model enables us to choose how to achieve activities according to the current situation. The scenario model is based on a hierarchical task model having the task/method paradigm - methods define how to achieve a task, a task represents an activity. The context-aware adaptation process selects the relevant methods according to the current situation.
Keywords :
computer aided instruction; continuing professional development; electronic commerce; management education; mobile computing; retail data processing; TEL system; context-aware corporate learning; customer learning support; e-retailing; hierarchical task model; p-LearNet project; pervasive long-life learning; scenario model; work-integrated learning; Computer science; Context modeling; Coordinate measuring machines; Employment; Innovation management; Intelligent agent; Learning systems; Mobile computing; Technological innovation; Telecommunications; Adaptation; Context-Aware; Hierarchical Task Model; Long-life learning; Pervasive Learning; Task/Method Paradigm; working and learning situations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-0-7695-3496-1
Type :
conf
DOI :
10.1109/WIIAT.2008.243
Filename :
4740557
Link To Document :
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