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Transforming education: openness and learning analytics George Siemens October 15, 2010 Presented to: Universidad del Sagrado Corazón

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Presented to Universidad del Sagrado Corazon, Oct 15, 2010

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  • 1. Transforming education: openness and learning analytics George Siemens October 15, 2010 Presented to: Universidad del Sagrado Corazn
  • 2. The inadequacy of traditional knowledge processes (institutions?)
    • Rapid processes of iteration, invention
    • Complexity & connectivity (Morin)
  • 3. more is different
  • 4. What would a university look like if created today?
  • 5. Periods of innovation demand different tactics than those needed in periods of stability
  • 6. Need idea collision
    • Openness
    • Diversity
    • Spaces for collision to occur
  • 7. Late February, 2003
  • 8. Global, networked research, sensemaking, & knowledge growth
  • 9. April 16, 2003
  • 10.
  • 11. First concept:
  • 12. Innovation requires openness
  • 13. But what does openness mean?
  • 14. Product?
  • 15.
  • 16. Process?
  • 17. Open scholarship
  • 18. Open teaching & learning 2008, 2009, (soon) 2011
  • 19. Second concept:
  • 20. Openness produces more of itself
  • 21. Criticality of Creation
  • 22. MOOC
    • Spaces of multi-voiced/perspective interaction
    • Coherence of knowledge formed (connected?) through participation
  • 23.
  • 24. Third concept:
  • 25. Openness & innovation require creation and participation
  • 26. Information fragmentation
  • 27. Knowledge coherence
  • 28. Need time
    • Incubation
    • Idea collision
    • Randomness
  • 29. Sensemaking
    • Through
    • 1. Social and
    • 2. Technological
    • systems
  • 30. Fourth concept:
  • 31. Personal knowledge must be shared and interacted with (Error detection & correctioni.e. peer review)
  • 32. i.e. explicitation
  • 33. and
  • 34. Once its data, its analyzable
  • 35. Fifth Lesson:
  • 36. Computers should do what they do best. So should people.
  • 37. Structure & innovation
    • Hard & soft technologies and methods
  • 38. The need to know ourselves
    • We aren't well acquainted with our thoughts (or ourselves)
  • 39. What does this produce?
    • Failed innovations, overlooked connections
  • 40. States of connectedness produce different levels of understanding
    • What and how something is connected determines what is possible
    • i.e. What is understood
    • Capacity, potential
  • 41. Sixth concept:
  • 42. Data trails reveal ourselves (intentions)
  • 43. The adjacent possible
  • 44. Analytics and revelation of serendipitous connections
  • 45. Living the connected life
    • Blending digital world with physical
    • Connection serendipity provided through social and technological systems
    • e.g. Feltron, Google analytics, social media monitoring
  • 46.
  • 47.
  • 48.
  • 49.
  • 50. Seventh concept:
  • 51. Learning analytics transform teacher and learner roles (and education)
  • 52.
    • Twitter/Facebook: gsiemens
    • Newsletter: www.elearnspace.org
    • Learning Analytics & Knowledge Conference: https://tekri.athabascau.ca/analytics/