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www.elena-project.orgwww.prolearn-project .org
Improving LOM-Based Interoperability
of Learning Repositores
Germán M. RiveraBernd Simon
Juan QuemadaJoaquín Salvachúa
Universidad Politécnica de MadridWirtschaftsuniversität Wien
Information Society Technologies (IST) PROGRAMME
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Outline
Introduction
LOM Application Profiles
The ELENA Smart Space for Learning
A LOM Application Profile for a Smart Space for Learning
Conclusions
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Introduction
What do we aim?
• Overcome present lack of interoperability between learning repositories.
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Application profiles and ontologies
LOM Well known standard
App. Profile Adaptation or combination of schemas
LOM+AP Good starting point to interoperate
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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
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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.
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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.
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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.
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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.
Not used
Brokerage aspects
IdentificationLM technical aspectsVersatility
LA conceptsLO classification
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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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