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Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato agathe.merceron@devinci.fr CRMPA, ESILV
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Learning GRID SIG: Key Idea Allows for: Direct and personalised experience in realistic contexts. Creation of virtual dynamic communities. EX: Students from different locations have 2D photos on similar topics. Using location services, they find each other, join their PCs to form a GRID that can run a software to convert photos in 3D.
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Learning GRID is: GRID + Semantics + Learning Design
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What is GRID? Service for sharing computing power and storage over the Internet. OGSA (Open Grid Service Architecture) integrates GRID technologies with Web services. Students' machines offer their storage and computational facilities to run parallel algortihms taught in a parallel computing course. Students can run simulations from different devices (PDAs, laptops). Results (numerical or graphical) are displayed accordingly.
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What is Semantics? Semantic Web: data are defined and linked in a way that it can be used by machines not only for display, but also for integration, reuse across various applications. Needs the annotation (indexation) of documents (with the use of an ontology). Compose an algebra course with a lot of exercises for practically oriented learners.
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What is Learning Design? A language to express many different pedagogies. Construct a pedagogical scenario for a calculus course with activities on 'Limit' first, then on 'Derivative' and finally on 'Integral'.
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The Field Trip Scenario
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Students have PDA to store photos, text notes, audio comments etc. Using learner profile and context dependent information, these contents are automatically indexed with metadata Information is send to the field trip GRID service via appropriate network Biometric data are used to secure access to the service Learning GRID service analyses students' work w.r.t. learning objectives and presents a summary to the teacher Access to digital libraries for students Collaboration and sharing of content (photos, etc.) with other students
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The Research Program of the SIG Definition of challenging scenarios for distributed service- oriented e-learning Analysis of technologies and definition of a methodology for creating distributed, service-oriented e-Learning environments Analysis of learning paradigms able to exploit distributed, service-oriented e-learning environments Definition of an evaluation methodology to assess the efficacy and the effectiveness of distributed, service oriented e- learning models and environments 2004 2005 2006 2007
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GRID + Semantics + Learning Design GRID provides: transparent access to distributed services and resources service orientation, dynamicity, interoperability among heterogeneous environments, security and trust, ubiquity distributed collaboration and virtual organizations features
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GRID + Semantics + Learning Design Semantics allows: to make explicit the knowledge about resources and services of the infrastructure, of communities and of individuals. automatic negotiation, discovery and composition of services allowing personalization.
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GRID + Semantics + Learning Design Learning Design allows: to model different learning theories in a machine understandable way in order to be interpreted and combined to exploit distributed, service-oriented e-learning environments to construct learning experiences
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Services and features Mobility of students Active building of VO and processing of context related information Knowledge based services (learner's progress)
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Thanks agathe.merceron@devinci.fr
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