An Adaptive and Context-Aware Scenario Model Based on a Web Service Architecture for Pervasive Learning Systems

نویسندگان

  • Cuong Pham-Nguyen
  • Serge Garlatti
  • Simon Boung-Yew Lau
  • Benjamin Barbry
  • Thomas Vantroys
چکیده

Pervasive learning will become increasingly important in technology-enhanced learning (TEL). In this context, development efforts focus on features such as context-awareness, adaptation, services retrieval and orchestration mechanisms. This paper proposes a process to assist the development of such systems, from conception through to execution. This paper focuses mainly on pervasive TEL systems in a learning situation at the workplace. We introduce a context-aware scenario model of corporate learning and working scenarios in e-retail environments such as shops and hypermarkets. This model enables us to integrate contextual information into scenarios and to select how to perform activities according to the current situation. Our pervasive learning system is based on a service oriented architecture that consists of an infrastructure for service

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عنوان ژورنال:
  • IJMBL

دوره 1  شماره 

صفحات  -

تاریخ انتشار 2009