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Learning from e-Learning Initial experiences from the European Learning Grid

Learning from e-Learning Initial experiences from the European Learning Grid. Rosa Michaelson University of Dundee Colin Allison, Stuart Purdie,Tim Storer University of St Andrews. ELeGI Project.

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Learning from e-Learning Initial experiences from the European Learning Grid

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  1. Learning from e-LearningInitial experiences from the European Learning Grid Rosa Michaelson University of Dundee Colin Allison, Stuart Purdie,Tim Storer University of St Andrews

  2. ELeGI Project • European Learning Grid Infrastructure is a 4 year EC FP6 funded “Integrated Project” which started in February 2004 • 23 partners • 12 universities • 2 open universities (OU and HOU) • 4 research institutes • 4 commercial technology companies

  3. ELeGI: Motivation • “Information transfer” learning model issues • Assumed/supported by most e-learning products • About content management • Easy to achieve with simple use of Web • Lecturer selects/produces content • Little scope for exploratory, interactive or collaborative learning

  4. ELeGI Motivation • Interested in “knowledge construction” • Learning Modes required: • Collaborative • Experiential • Personalised • Realistic • Contextualised • Ubiquitous

  5. Technologies and Standards Learning and Collaboration Models Service Elicitation and Exploitation Scenarios (SEES) Analysis and Synthesis Software Architecture Design Prototype Infrastructure Implementation Feedback Deployments and Evaluations ELeGI Approach

  6. Content sharing Presentation mark-up Product/download Producer/consumer bolt-on security Ad hoc identity management (cookies) Secure transactions (awkward..don’t press that button…) Authentication – ad hoc, no cross domain Resource sharing Semantic mark-up Dynamic service Virtual communities detailed security model PKI Certificate based identity management Cross domain trust models Secure transactions Why Grid? Grid Web

  7. Two sides to the Grid • Anatomy of the Grid • Original GRID -> distributed supercomputing • Shared resources - high performance processing, networking and storage facilities • Physiology of the Grid • OGSA: Open Grid Services Architecture

  8. What have we done? • Prototypes • re-engineered learning tools/facilities/environments • Explored: • What it means to be “OGSA conformant” • Issues in implementing Grid learning services, without worrying about pedagogical goals and models

  9. GRID-Aware Prototypes • Finesse -> Finesse Grid Services • BuddySpace -> BuddySpace Grid Interface • GRASP (OGSI.Net) -> GRASP (WSRF.Net) • IWT -> IWT “Grid Aware” • VCLab -> VCLab Grid Services

  10. Exploring Learning Models • Formal Learning models • Virtual Scientific Experiments • Maps onto IMS-Learning Design • Output feeds a virtual control laboratory • “Personalised” • Informal Learning models • Social learning; learning as a side effect; collaborative environments, “enhanced presence”

  11. Standards and Specifications • Interoperability • W3C, IETF, GGF, IEEE, IMS, etc. • Globus Toolkit 4 (GT4) • open source, public domain, multi-platform • WSRF.NET • Microsoft Windows only

  12. OASIS • Organization for the Advancement of Structured Information Standards • Web Services Resource Framework (WSRF) • Universal Description, Discovery and Integration (UDDI) protocol • Web Services Description Language (WSDL) • Security: X.509 certificates, https, etc.

  13. ELeGI architecture

  14. CurrentDemonstrators • Interoperability of Grid services • Finesse Grid Services (FIGS) + Buddyspace Grid Service Interface (BUGSI) • flexible learning environment with enhanced presence for: • Business finance • Financial modelling • Supports group decision making

  15. Evaluation Framework • A deployment is a set of ELeGI learning events for an identified group of users for a specific period • A case file is organised into inputs and outputs • Inputs: the D&E document, evaluation materials, questionnaires, completed questionnaires, system logs • Outputs: analyses, summary reports • Deployment and Evalauation Templates

  16. Case File Outline

  17. Conclusions 1 • A promising approach • Grid offers a resource sharing model • Resources are virtualised as services • Resources/services are described using semantics for description and discovery • Web is still important for delivery of services and user interfaces – but multiple interfaces now possible

  18. Conclusions 2 • Standards and specifications support interoperability • But will current OASIS standards give the flexibility or interoperability needed for an e-learning framework?

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