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Outline

Outline. Introduction LOM Application Profiles The ELENA Smart Space for Learning A LOM Application Profile for a Smart Space for Learning Conclusions. Introduction. What do we aim? Overcome present lack of interoperability between learning repositories.

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Outline

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Presentation Transcript

  1. Outline • Introduction • LOM Application Profiles • The ELENA Smart Space for Learning • A LOM Application Profile for a Smart Space for Learning • Conclusions

  2. Introduction • What do we aim? • Overcome present lack of interoperability between learning repositories.

  3. Application profiles and ontologies • LOM Well known standard • App. ProfileAdaptation or combination of schemas • LOM+AP Good starting point to interoperate

  4. What makes a LOM application profile? • Selects LOM elements • Specifies value restrictions • Refines LOM semantics • Specifies multiplicity constraints • Introduces required extensions • Refines the learning object notion • Possibly aim backwards compatibility

  5. The Need for Interoperability in Smart Spaces for Learning • LOMAP initiated by Elena and extended by ProLearn. • Elena’s Smart Space for Learning: • Network of learning repositories, which supports the personalized mediation of heterogeneous learning objects. • Corporate learners are being offered heterogeneous set of learning objects. • Shortcomings in decision effectiveness, process administration, IT infrastructure. • Need for a global view of integrated internal and external repositories. • Search based on an ontology or common data model shared by several systems.

  6. Differentiating Learning Material from Learning Activity • LM: Consumed independently of time and location. Physical or digital good. • LA: Live events. Synchronous service. • IMS LD and SCORM already use this concept. • Here an LA is an autonomous entity. • The AP is conditioned by the selection criteria and the results description.

  7. Application Profile Design • Refinement of the Learning Object Notion • Distinguish two types of learning objects and be expressive enough for contractual purposes. • Selection of LOM elements • Mainly for learning material. • Specification of value restrictions • For LOM value spaces and vCard elements. • Semantics refinement • To apply it in the Smart Space for Learning. • Specification of multiplicity constraints • Also for each vocabulary entry. • Introduction of extensions • Both in vocabulary and elements.

  8. Overview of Selected Elements and Mappings • Categories (LOM, Profile): • Rights • General • Metametadata • Technical • Classification • Lifecycle • Educational • Relation and annotation • Mappings to Dublin Core and Open-Qcat. Brokerage aspects Identification LM technical aspects Versatility LA concepts LO classification Notused

  9. Conclusion • LOM Application Profile for building Smart Spaces of Learning. • Generic process for designing LOM Application Profiles. • Distinction between Learning Material and Learning Activities. • Learning objects described for brokerage purposes.

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