GLOBE Metadata Analysis
Download as PPTX, PDF0 likes361 views
This document summarizes research analyzing metadata from over 630,000 learning objects using the Learning Object Metadata (LOM) standard. The analysis found that LOM instances take up around 5KB of storage space on average. Only 20 of LOM's 50 elements are used frequently, capturing similar information to the Dublin Core standard. Educational elements are underused and dependent on individual communities. Validation found loose implementation of LOM's XML structure results in good interoperability despite unclear value spaces. Metadata quality is varied, showing a need for quality assurance processes. The conclusion advocates for more studies of this kind to improve metadata standards and learning technologies.
GLOBE Metadata Analysis
- 1. On the use of Learning Object Metadata the GLOBE experienceXavier Ochoa, ESPOLJorisKlerkx, KULeuvenBram Vandeputte, KULeuvenErik Duval, KULeuven
- 3. LOM is known and widely usedBut its real use is not known
- 4. How much space 1000 LOM instances will take?What are the most used elements of LOM?Is it really a “standard”?Has it been extended as designed?What is the information stored in real instances?Is it better than Dublin Core for Educational Resources?
- 5. We need: Large-Scale, Real-World, HeterogeneousWe select: GLOBE
- 6. GLOBE
- 8. Large-Scale: 630.000+ instances Real-World: being used and createdHeterogeneous: 7 networks of LORs 4 continents
- 10. Size
- 11. Size≈ 5 Kb
- 12. LOM Elements UseWhat parts of LOM are used anyway?
- 17. LOM uses 20 out of 50 elementsBut captures more information than DC
- 19. 4 out of 11 Educational elements Community dependent
- 20. LOM Vocabulary UsageWhat is stored on LOM?
- 22. Right.Cost
- 24. If you too want to play...http://is.gd/globemetadata
- 25. LOM ExtensionsWhat LOM forgot…
- 26. Only 3 additions:General – Learning Object Kind (MACE) 30.000 InstancesTechnical – Geolocation (MACE)7.000 InstancesGeneral – Subtitle (KERIS)5.000 Instances
- 27. There is little need of extensionNobody wants more electronic fields!
- 28. LOM XMLValidation AnalysisIs it an interoperability standard?
- 29. LOM validation
- 30. Most common errors (loose)
- 31. LOM XML loose is widely implementedLOM XML strict is not
- 32. Good structural interoperabilityAlthough the value space is not clear
- 33. vCard causes 68% errorsLOM developers hate vCard
- 34. LOM Metadata Quality AnalysisThose pesky indexers…
- 35. Diversity of Vocabulary usage
- 36. Diversity of Vocabulary usage
- 37. Diversity of Vocabulary usage
- 38. Quality of Textual Descriptions
- 39. Quality of Textual Descriptions
- 40. Quality of Textual Descriptions
- 41. Quality of Textual Descriptions
- 42. There must be a QA processThat is true for bothautomatic and manual metadata
- 43. Conclusion of the ConclusionsThis kind of studies should be made an integral part of the development of LOM(or any other metadata standard)(or any other Learning technology)
- 44. Want the data?Want the code?https://sites.google.com/site/globemetadata/
- 45. Gracias / Thank you / GrazieXavier Ochoaxavier@cti.espol.edu.echttp://ariadne.cti.espol.edu.ec/xavierTwitter: @xaoch