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Analytics in Learning andKnowledge                        George                        Siemens                        Jun...
Critical Challenge:Understand how power and controlstructures influence information flow,person-level activity, and innova...
http://www.scribd.com/doc/48586092/KPCB-Top-10-Mobile-Trends
Blurring the physical and virtualworlds (blame mobile devices)
Intentions, interests: Explicit
All the world is data. And so are we.        And all of our actions.                http://www.hoganphoto.com/batsto_grist...
Crazy abundance
More is different, but not new                         1550-1750http://muse.jhu.edu/journals/journal_of_the_history_of_ide...
BIGData
What is different about information?Quantity: how many people can talk to (sharewith) each otherType: social, sensors & in...
How do we cope?
Through social means?
Socialmedia?
Social sensemaking and wayfinding in       abundance and complexity
Social spaces and knowledge           growth
but
“Peak Social”
UNSTRUCTURED       Daily                                  Crisis    Sensemaking      Mapping to                           ...
Social        and/versus big-data, machine-driven,patterning [inset buzzword]       sensemaking
Event-Continual flow     centredof information     pattern                 recognition
Talk-o-meter
http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html
Information                           InformationQuantity                                Type                   Coherence ...
Each new node amplifies the value   of the entire network…and            produces              lock-in
Learning Analytics & Knowledge 2012:     http://lak12.sites.olt.ubc.ca/    Facebook/Twitter: gsiemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
Analytics in Learning and Knowledge - George Siemens
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Analytics in Learning and Knowledge - George Siemens

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Transcript of "Analytics in Learning and Knowledge - George Siemens"

  1. 1. Analytics in Learning andKnowledge George Siemens June 8, 2011 Milan, Italy Presented to:
  2. 2. Critical Challenge:Understand how power and controlstructures influence information flow,person-level activity, and innovation in anorganization
  3. 3. http://www.scribd.com/doc/48586092/KPCB-Top-10-Mobile-Trends
  4. 4. Blurring the physical and virtualworlds (blame mobile devices)
  5. 5. Intentions, interests: Explicit
  6. 6. All the world is data. And so are we. And all of our actions. http://www.hoganphoto.com/batsto_grist_mill.htm
  7. 7. Crazy abundance
  8. 8. More is different, but not new 1550-1750http://muse.jhu.edu/journals/journal_of_the_history_of_ideas/toc/jhi64.1.html
  9. 9. BIGData
  10. 10. What is different about information?Quantity: how many people can talk to (sharewith) each otherType: social, sensors & informationRepresentation: the “thing that points to anotherthing” is not human readable anymore(i.e. a cave painting of an animal=the animal itrepresents. Binary is abstracted representation formachines, not humans)Relationships: (power & control)(more on that in a bit)
  11. 11. How do we cope?
  12. 12. Through social means?
  13. 13. Socialmedia?
  14. 14. Social sensemaking and wayfinding in abundance and complexity
  15. 15. Social spaces and knowledge growth
  16. 16. but
  17. 17. “Peak Social”
  18. 18. UNSTRUCTURED Daily Crisis Sensemaking Mapping to New Existing Knowledge Knowledge STRUCTUREDINDIVIDUAL COLLECTIVE
  19. 19. Social and/versus big-data, machine-driven,patterning [inset buzzword] sensemaking
  20. 20. Event-Continual flow centredof information pattern recognition
  21. 21. Talk-o-meter
  22. 22. http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html
  23. 23. Information InformationQuantity Type Coherence through technical and social networks and techniques Information Representation
  24. 24. Each new node amplifies the value of the entire network…and produces lock-in
  25. 25. Learning Analytics & Knowledge 2012: http://lak12.sites.olt.ubc.ca/ Facebook/Twitter: gsiemens

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