Perspectives on Tag-clouds

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Presentation held at the "exploitation of usage and attention metadata" workshop (EUAM09) on Sep. 28, 2009 in Lübeck, Germany

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Perspectives on Tag-clouds

  1. 1. Perspectives on Tag-clouds for Supporting Reflection in Self-organized Learning<br />Christian Glahn<br />Marcus Specht and Rob Koper<br />Open University of the Netherlands<br />Exploitation of Usage and Attention Metadata Workshop (EUAM’09)<br />Lübeck, 28 September 2009 <br />
  2. 2. This presentation is about ...<br />Tagging<br />... and ... <br />
  3. 3. Tag-clouds<br />
  4. 4. Wait!<br />
  5. 5. How is this related to attention metadata?<br />
  6. 6. Applying attention metadata to the domain of learning<br />
  7. 7. Tags and Attention<br />Tags are explicit interest expressions<br /> (Claypool, Le, Wased, & Brown, 2001)<br />Visualisations of tag usage can highlight subconscious aspects of learning<br />(Glahn, Specht, & Koper, 2009b)<br />Aggregations of tag usage provide attention descriptors of learning processes<br />
  8. 8. What is described by “attention descriptors”?<br />The Open Question for Attention Metadata<br />
  9. 9. The Open Question for Attention Metadata<br />What are the practical (im|ap)plicationsfor using “attention descriptors”?<br />
  10. 10. How is this related to attention metadata?<br /><br />
  11. 11. Self-controlled<br />Unguided<br />Incidental<br />Self-organized learning<br />Unstructured<br />Embedded in practice<br />
  12. 12. Self-controlled<br />Unguided<br />Knowledgeworkers’learning<br />Unstructured<br />Embedded in practice<br />
  13. 13. How to supportincidental learningof knowledge workers?<br />
  14. 14. Reflection is essential forthe learning of practitioners<br />Planning<br />Monitoring<br />Evaluating<br />(Schön, 1983)<br />
  15. 15. Reflection needs Information<br />
  16. 16. Reflection <br /> needs<br />Location<br />Context<br />Peers<br />Processes<br />Projects<br />Presence<br />Collaboration<br />Concepts<br />Time<br />Participation<br />Events<br />
  17. 17. Location<br />Context<br />Peers<br />Processes<br />Projects<br />Presence<br />Collaboration<br />Concepts<br />can be Identified<br />Time<br />Participation<br />Events<br />
  18. 18. Location<br />Context<br />Peers<br />Processes<br />Projects<br />Presence<br />Collaboration<br />Concepts<br /> can beConstructed <br />Time<br />Participation<br />Events<br />
  19. 19. Context construction principles for reflection support<br />PerspectiveandContrast<br />
  20. 20. In other words ...<br />Putsets of attention descriptorsinto relation<br />
  21. 21. ReScope<br />(Glahn, Specht, & Koper, 2008)<br />
  22. 22. Encode two sub-sets of Delicious.com tagsinto one tag-cloud.<br />The idea behind ReScope<br />
  23. 23. The hypothesis <br />Depending on the sub-sets reflection will focus on different aspects.<br />
  24. 24. Learning Centred Context Framework<br />
  25. 25. Case 1: Personal Focus<br />
  26. 26. Learning Centred Context Framework<br />
  27. 27. Personal Focus<br />Current Solution<br />Global tag usage<br />Bookmark feed<br /><ul><li>High activity times are under represented
  28. 28. Low activity times are over represented</li></ul>Proposed Alternative<br />Global tag usage<br />Compare against global tag usage of last visit (e.g. &gt; 1 day)<br /> Emphasize recency<br />
  29. 29. What are the differences of the impact onreflection and motivationfor personal information management?<br />
  30. 30. Case 2: Peer Focus<br />
  31. 31. Shared Interestsand Network Trends<br />
  32. 32. Participation Focus<br />Shared Interests<br />Social tag usage in the network<br />Social value of personal tags<br />Network Trends<br />Recent Social tag usage in the network<br />Personal usage of social tags<br />
  33. 33. Learning Centred Context Framework<br />
  34. 34. Participation Focus<br />Shared Interests<br />Social tag usage in the network<br />Social value of personal tags<br /><ul><li>Integration in the network
  35. 35. Social value of tagging</li></ul>Network Trends<br />Recent Social tag usage in the network<br />Personal usage of social tags<br /><ul><li>Integration in the dynamics of the network
  36. 36. Social dynamics of tagging</li></li></ul><li>Future Work<br />Refining the identification ofattention descriptors<br />
  37. 37. Thank you for your attention<br />Christian Glahn<br />CELSTEC<br />Open University of the Netherlands<br />E-Mail: christian DOT glahn AT ou DOT nl<br />http://www.ou.nl - http://celstec.org <br />http://lo-f.at/glahn/ - http://www.slideshare.com/phish108<br />

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