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On the use of Learning Object Metadata the GLOBE experience<br />Xavier Ochoa, ESPOL<br />JorisKlerkx, KULeuven<br />Bram ...
http://www.slideshare.net/xaoch<br />
LOM is known and widely used<br />But its real use is not known<br />
How much space 1000 LOM instances will take?<br />What are the most used elements of LOM?<br />Is it really a “standard”?<...
We need: Large-Scale, Real-World, Heterogeneous<br />We select: <br />GLOBE<br />
GLOBE<br />
http://www.globe-info.org/<br />
Large-Scale:  630.000+ instances  <br />Real-World:  being used and created<br />Heterogeneous: 	7 networks of LORs<br />	...
Results<br />The interesting stuff<br />
Size<br />
Size<br />≈ 5 Kb<br />
LOM Elements Use<br />What parts of LOM are used anyway?<br />
G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEnt...
G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEnt...
G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEnt...
LOM uses 20 out of 50 elements<br />But captures more information than DC<br />
Educational Section<br />
4 out of 11 Educational elements <br />Community dependent<br />
LOM Vocabulary Usage<br />What is stored on LOM?<br />
Educational.Context<br />
Right.Cost<br />
Rights.Copyrights<br />
If you too want to play...<br />http://is.gd/globemetadata<br />
LOM Extensions<br />What LOM forgot…<br />
Only 3 additions:<br />General – Learning Object Kind (MACE) <br />30.000 Instances<br />Technical – Geolocation (MACE)<br...
There is little need of extension<br />Nobody wants more electronic fields!<br />
LOM XMLValidation Analysis<br />Is it an interoperability standard?<br />
LOM validation<br />
Most common errors (loose)<br />
LOM XML loose is widely implemented<br />LOM XML strict is not<br />
Good structural interoperability<br />Although the value space is not clear<br />
vCard causes 68% errors<br />LOM developers hate vCard<br />
LOM Metadata Quality Analysis<br />Those pesky indexers…<br />
Diversity of Vocabulary usage<br />
Diversity of Vocabulary usage<br />
Diversity of Vocabulary usage<br />
Quality of Textual Descriptions<br />
Quality of Textual Descriptions<br />
Quality of Textual Descriptions<br />
Quality of Textual Descriptions<br />
There must be a QA process<br />That is true for bothautomatic and manual metadata<br />
Conclusion of the Conclusions<br />This kind of studies should be made an integral part of the development of LOM<br />(or...
Want the data?Want the code?<br />https://sites.google.com/site/globemetadata/<br />
Gracias / Thank you / Grazie<br />Xavier Ochoa<br />xavier@cti.espol.edu.ec<br />http://ariadne.cti.espol.edu.ec/xavier<br...
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GLOBE Metadata Analysis

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Large-scale analysis of the Learning Object Metd

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Transcript of "GLOBE Metadata Analysis"

  1. 1. On the use of Learning Object Metadata the GLOBE experience<br />Xavier Ochoa, ESPOL<br />JorisKlerkx, KULeuven<br />Bram Vandeputte, KULeuven<br />Erik Duval, KULeuven<br />
  2. 2. http://www.slideshare.net/xaoch<br />
  3. 3. LOM is known and widely used<br />But its real use is not known<br />
  4. 4. How much space 1000 LOM instances will take?<br />What are the most used elements of LOM?<br />Is it really a “standard”?<br />Has it been extended as designed?<br />What is the information stored in real instances?<br />Is it better than Dublin Core for Educational Resources?<br />
  5. 5. We need: Large-Scale, Real-World, Heterogeneous<br />We select: <br />GLOBE<br />
  6. 6. GLOBE<br />
  7. 7. http://www.globe-info.org/<br />
  8. 8. Large-Scale: 630.000+ instances <br />Real-World: being used and created<br />Heterogeneous: 7 networks of LORs<br /> 4 continents<br />
  9. 9. Results<br />The interesting stuff<br />
  10. 10. Size<br />
  11. 11. Size<br />≈ 5 Kb<br />
  12. 12. LOM Elements Use<br />What parts of LOM are used anyway?<br />
  13. 13.
  14. 14. G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEntity<br />M.Identifier<br />M.ContributorRole<br />M.ContributorEntity<br />M.ContributorDate<br />T.Location<br />T.Format<br />E.LearningResourceType<br />R.Copyright<br />R.Cost<br />R.Description<br />C.TaxonPath<br />C.Purpose<br />C.Taxon<br />
  15. 15. G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEntity<br />M.Identifier<br />M.ContributorRole<br />M.ContributorEntity<br />M.ContributorDate<br />T.Location<br />T.Format<br />E.LearningResourceType<br />R.Copyright<br />R.Cost<br />R.Description<br />C.TaxonPath<br />C.Purpose<br />C.Taxon<br />Creator<br />Identifier<br />Title<br />Date<br />Type<br />Subject<br />Description<br />LOM<br />DC<br />
  16. 16. G.Title<br />G.Identifier<br />G.Language<br />G.Description<br />G.Keyword<br />L.ContributionRole<br />L.ContirubtionEntity<br />M.Identifier<br />M.ContributorRole<br />M.ContributorEntity<br />M.ContributorDate<br />T.Location<br />T.Format<br />E.LearningResourceType<br />R.Copyright<br />R.Cost<br />R.Description<br />C.TaxonPath<br />C.Purpose<br />C.Taxon<br />Creator<br />Identifier<br />Title<br />Date<br />Type<br />Subject<br />Description<br />LOM<br />DC<br />
  17. 17. LOM uses 20 out of 50 elements<br />But captures more information than DC<br />
  18. 18. Educational Section<br />
  19. 19. 4 out of 11 Educational elements <br />Community dependent<br />
  20. 20. LOM Vocabulary Usage<br />What is stored on LOM?<br />
  21. 21. Educational.Context<br />
  22. 22. Right.Cost<br />
  23. 23. Rights.Copyrights<br />
  24. 24. If you too want to play...<br />http://is.gd/globemetadata<br />
  25. 25. LOM Extensions<br />What LOM forgot…<br />
  26. 26. Only 3 additions:<br />General – Learning Object Kind (MACE) <br />30.000 Instances<br />Technical – Geolocation (MACE)<br />7.000 Instances<br />General – Subtitle (KERIS)<br />5.000 Instances<br />
  27. 27. There is little need of extension<br />Nobody wants more electronic fields!<br />
  28. 28. LOM XMLValidation Analysis<br />Is it an interoperability standard?<br />
  29. 29. LOM validation<br />
  30. 30. Most common errors (loose)<br />
  31. 31. LOM XML loose is widely implemented<br />LOM XML strict is not<br />
  32. 32. Good structural interoperability<br />Although the value space is not clear<br />
  33. 33. vCard causes 68% errors<br />LOM developers hate vCard<br />
  34. 34. LOM Metadata Quality Analysis<br />Those pesky indexers…<br />
  35. 35. Diversity of Vocabulary usage<br />
  36. 36. Diversity of Vocabulary usage<br />
  37. 37. Diversity of Vocabulary usage<br />
  38. 38. Quality of Textual Descriptions<br />
  39. 39. Quality of Textual Descriptions<br />
  40. 40. Quality of Textual Descriptions<br />
  41. 41. Quality of Textual Descriptions<br />
  42. 42. There must be a QA process<br />That is true for bothautomatic and manual metadata<br />
  43. 43. Conclusion of the Conclusions<br />This kind of studies should be made an integral part of the development of LOM<br />(or any other metadata standard)<br />(or any other Learning technology)<br />
  44. 44. Want the data?Want the code?<br />https://sites.google.com/site/globemetadata/<br />
  45. 45. Gracias / Thank you / Grazie<br />Xavier Ochoa<br />xavier@cti.espol.edu.ec<br />http://ariadne.cti.espol.edu.ec/xavier<br />Twitter: @xaoch<br />
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