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Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato

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Presentation on theme: "Scenarios for a Learning GRID Online Educa Nov 30 – Dec 2, 2005, Berlin, Germany Nicola Capuano, Agathe Merceron, PierLuigi Ritrovato"— Presentation transcript:

1 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

2 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.

3 Learning GRID is:  GRID +  Semantics +  Learning Design

4 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.

5 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.

6 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'.

7 The Field Trip Scenario

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9  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

10 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

11 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

12 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.

13 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

14  Services and features  Mobility of students  Active building of VO and processing of context related information  Knowledge based services (learner's progress)

15 Thanks agathe.merceron@devinci.fr


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