Analytics in Learning and Knowledge<br />George Siemens<br />June 8, 2011<br />Milan, Italy<br />Presented to:<br />
Critical Challenge:<br />Understand how power and control structures influence information flow, person-level activity, an...
http://www.scribd.com/doc/48586092/KPCB-Top-10-Mobile-Trends<br />
Blurring the physical and virtual worlds (blame mobile devices)<br />
Intentions, interests: Explicit<br />
All the world is data. And so are we. And all of our actions. <br />http://www.hoganphoto.com/batsto_grist_mill.htm<br />
Crazy abundance<br />
More is different, but not new<br />1550-1750<br />http://muse.jhu.edu/journals/journal_of_the_history_of_ideas/toc/jhi64....
BIG Data<br />
What is different about information?<br />Quantity: how many people can talk to (share with) each other<br />Type: social,...
How do we cope?<br />
Through social means? <br />
Social media?<br />
Social sensemakingand wayfinding in abundance and complexity<br />
Social spaces and knowledge growth<br />
but<br />
“Peak Social”<br />
Social and/versusbig-data, machine-driven, patterning [inset buzzword] sensemaking<br />
Talk-o-meter<br />
http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html<br />
Each new node amplifies the value of the entire network…andproduces lock-in<br />
Learning Analytics & Knowledge 2012: http://lak12.sites.olt.ubc.ca/<br />Facebook/Twitter: gsiemens<br />
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Presentation: Social Business Forum, Milan, June 8, 2011

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  • &quot;Discussing the War in a Paris Café&quot;, The Illustrated London News17 September 1870
  • Analytics_Milan

    1. 1. Analytics in Learning and Knowledge<br />George Siemens<br />June 8, 2011<br />Milan, Italy<br />Presented to:<br />
    2. 2. Critical Challenge:<br />Understand how power and control structures influence information flow, person-level activity, and innovation in an organization<br />
    3. 3. http://www.scribd.com/doc/48586092/KPCB-Top-10-Mobile-Trends<br />
    4. 4. Blurring the physical and virtual worlds (blame mobile devices)<br />
    5. 5. Intentions, interests: Explicit<br />
    6. 6. All the world is data. And so are we. And all of our actions. <br />http://www.hoganphoto.com/batsto_grist_mill.htm<br />
    7. 7.
    8. 8. Crazy abundance<br />
    9. 9. More is different, but not new<br />1550-1750<br />http://muse.jhu.edu/journals/journal_of_the_history_of_ideas/toc/jhi64.1.html<br />
    10. 10. BIG Data<br />
    11. 11. What is different about information?<br />Quantity: how many people can talk to (share with) each other<br />Type: social, sensors & information<br />Representation: the “thing that points to another thing” is not human readable anymore <br />(i.e. a cave painting of an animal=the animal it represents. Binary is abstracted representation for machines, not humans)<br />Relationships: (power & control) <br />(more on that in a bit)<br />
    12. 12. How do we cope?<br />
    13. 13. Through social means? <br />
    14. 14. Social media?<br />
    15. 15. Social sensemakingand wayfinding in abundance and complexity<br />
    16. 16. Social spaces and knowledge growth<br />
    17. 17. but<br />
    18. 18. “Peak Social”<br />
    19. 19.
    20. 20.
    21. 21. Social and/versusbig-data, machine-driven, patterning [inset buzzword] sensemaking<br />
    22. 22.
    23. 23.
    24. 24.
    25. 25. Talk-o-meter<br />
    26. 26. http://research.uow.edu.au/learningnetworks/seeing/snapp/index.html<br />
    27. 27.
    28. 28. Each new node amplifies the value of the entire network…andproduces lock-in<br />
    29. 29.
    30. 30.
    31. 31.
    32. 32.
    33. 33.
    34. 34.
    35. 35.
    36. 36. Learning Analytics & Knowledge 2012: http://lak12.sites.olt.ubc.ca/<br />Facebook/Twitter: gsiemens<br />
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