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An Application Profile for Small Learning Objects

An Application Profile for Small Learning Objects. Ingo Dahn University Koblenz-Landau The Telcert Project. The Context Problems. One learning objects must be build from various components at reuse time (? Distributed LO ?)

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An Application Profile for Small Learning Objects

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  1. An Application Profile for Small Learning Objects Ingo Dahn University Koblenz-Landau The Telcert Project

  2. The Context Problems • One learning objects must be build from various components at reuse time (? Distributed LO ?) • This must be done differently for reuse in different contexts (? Makefile in LO?) • One learning object may require for reuse in certain contexts the presence of other learning objects • Joint reuse of a collection of learning objects requires establishing a joint context How can we profile MD specs to support this?

  3. Specifications and Profiles • eLearning specifications are given by • A data model (not machine processable) • An XML binding (machine processable) • Other documents (Best practice, runtime spec.) • Application profiles • Adapt specifications to the service needs of communities • May, but need not, respect interoperability • Are supported by IMS and the Telcert project

  4. Application Profiles • Modify one base specification • May modify cardinalities or attribute properties • May have condition-dependent modifications • Can be • Restrictive, extensive or incompatible • Can have • Mild extensions (at wildcards) • Wild extensions (anywhere else) • May not reorder elements

  5. The Telcert Project • FP6 project 2004-2006 • Coordinated by D. Rose (Open Group) and K. Riley (eLoki) • Objective: • Develop tools/content/test suite for developing/certifying compliant content and systems • Make these adaptable to any specification and application profile • http://www.opengroup.org/telcert/ • See Cool Tools in IMS Public Dispatch (March 05)

  6. Slicing Book Services • Aggregate documents on the fly from small parts (learning objects) of pre-existing documents • Search for learning objects by multilingual key phrases • Search for objects of specific types • Complete selections for learning scenarios • Present objects in different styles/media

  7. Technical Context <ul> (start) <li>Content 1</li> (main) <li>Content 2</li> (main) </ul> (end) • Several resources for 1 learning object • Files have roles (start/main/end) and purposes (style/media)

  8. Objects have assigned… • Position (sourcereference) • Key phrases from a structured VDEX thesaurus • Types • Navigation titles • Relations: References, Requires, ReferencesPart, Explains, Translates, ExternalReference

  9. Metadata Calculation • By downward inheritance along source document structure (implicite) • Path Inclusion Principle • From content/style analysis (explicite) • By inference (implicite)

  10. TS Metadata Profile • Application Profile of IMS Metadata 1.2.2 • Restrictive • Mild extensions for • Roles, Positions • Metadata authors and MD Assignment confirmation • Inheritance • No conditional modifications, no wild extensions • Specific vocabularies •  Exists derived schema • Location points to multiple files

  11. Thank you See paper fo details Download MD application profile XML binding and samples from http://www.opengroup.org/telcert/

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