An adaptive and context-aware scenario model based on a web service architecture for pervasive learning systems
Résumé
Pervasive learning is becoming a new wave in technology-enhanced learning (TEL). In this context, development efforts lie in the support of such learning systems, including context-awareness, adaptation, services retrieval and orchestration mechanisms, etc. This paper proposes a process to ease 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. In order to execute our scenario, we outline the semantic description of web services to enable their selection to achieve the objectives specified for learning and working activities. Thus, we propose a context-aware and adaptive mechanism for pervasive learning systems. This mechanism enables the selection of the relevant methods or learning components (resources and services) appropriate to the current situation. Moreover, pervasive learning systems need to be flexible enough to reuse learning components and to deal with context changes that are not known in advance and discovered on the fly. Our pervasive learning system architecture is based on a service oriented architecture that consists of an infrastructure for service management and execution in e-retail environments.