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F.kop serendipity and networked learning


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Slides of Conference paper presentation, Networked Learning conference, 2-4th April 2012, Maastricht, The Netherlands

Published in: Education, Technology
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F.kop serendipity and networked learning

  1. 1. Information aggregation in networked learning: The human factor and serendipityRita KopInstitute for Information TechnologyLearning and Collaborative Technologies Group
  2. 2. What to expect Rita Kop
  3. 3. ‘The circumstances, conditions and the very status of knowledge, learning, teaching and researching are currently in a state of profound upheaval under the impact of rapid and far-reaching technological change’. Lankshear and Knobel 2000 Rita Kop
  4. 4. Changes in the nature of the Web Rita Kop
  5. 5. ‘This new reality presents challenges for theexisting higher education system. Inparticular, how do people learn and solvecomplex problems in social, global networksin climates of information abundance?’ Siemens, 2012 Rita Kop
  6. 6. The changing learning environmentRita Kop
  7. 7. Changes in student behaviour - Research using a virtual computer University resources used: 28.51% Web resources used: 71.49%Pardo and Kloos (2011) Rita Kop
  8. 8. Changes in learning: Open Networked Learning• A new theoretical paradigm• Transforms relations and communication• Challenges existing educational structures• Asks why we should continue to believe preconceived definitions of knowledge, learning, or collectively built knowledge? Rita Kop
  9. 9. How neutral is the Web? Barabási (2003) Rita Kop
  10. 10. Critical Literacies for educators and learnersLevel of Newcomplexity: semantics:• Change •Text• Context • Hypertext• Presence • (Social) Media• Networking • Technical• Participation• Attention • Searching• Remixing • Tagging • Filtering• Intercultural •Aggregating • Analytics Rita Kop
  11. 11. Recommender systems and serendipity Rita Kop
  12. 12. Serendipity in theinformation stream? Rita Kop
  13. 13. Information aggregation Moving from: Rita Kop
  14. 14. To: and Rita Kop
  15. 15. Factors affecting serendipity• Autonomy• Openness• Interactivity Stephen Downes Rita Kop
  16. 16. The human factor and serendipityLevel of communicationDiversityDegree of distance Rita Kop
  18. 18. Challenges in capturing Big Data Rita Kop
  19. 19. Who were the participants? Participants’ age Participants’ residence Rita KopParticipants’ professional background
  20. 20. What did participants do?PLENK participation rates Rita Kop
  21. 21. 21
  22. 22. What did people share on Twitter?• Twitter posts• Discussion posts• Blog posts• Concept maps /2010/09/plenk-2010-most-awesome-course- on.html• Google map Wordles• Pearltrees networks• Presentations• Animations• S.Network groups• Second Life area Rita Kop
  23. 23. How did peoplecommunicate on Twitter?
  24. 24. Twitter PLENK connections to hash- tag networks#tags related to Twitter posts in the PLENK Daily - six weeks duration
  25. 25. Factors influencing serendipity on the PLENK2010 Twitter network• Number of incoming messages• The balance between messages: noise to signal ratio• Tweets or re-tweets• RSS streams shared• # Networks Rita Kop
  26. 26. Conclusions• Small study• Serendipity and predictive analytics systems• Learning Analytics• Human factor Rita Kop
  27. 27. Further research• Results need comparing with the effectiveness of more traditional information filtering strategies• Serendipity Index
  28. 28. @ WelshCloggy Links to MOOC and PLE research publications: Kop, PhD.