A Grid-based Architectural Framework for Composition and Execution of Complex Learning Processes

Abstract

Educational Modeling Languages (EML) are currently used to design and specify complex learning process that adapt the demands of a particular learning setting. LPCEL (Learning Process Composition and Execution Language) is a formal language used to specify complex learning scenarios. From a software architectural point-of-view, a service-oriented architecture (SOA) provide an important approach in order to implement dynamically learning environments from diverse, distributed and heterogeneous learning resources and services, these can be hardly synchronized and coordinated through an EML specification. Based upon SOA principles, Grid-Computing offer a powerful environment to use of resources such as processing power, disk storage, applications and data. This work presents a grid-based architectural framework that enable the dynamic and unanticipated composition of distributed learning services.