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PD as Play
  Seann Dikkers
  Ohio University




                    The 21st Century Teaching Project
Learning for expert adults looks very
similar to ways we are thinking about
      playful learning for youth.
2012 8 GiE teachers pd
2012 8 GiE teachers pd
Learning for expert adults looks very
similar to ways we are thinking about
       playful learning for youth
Learning for expert adults looks very
similar to ways we are thinking about
       playful learning for youth - playful
2012 8 GiE teachers pd
Doesn’t
 technology
    cause
distractions?
Squire, K. & Dikkers, S.
(2011). “Amplifications
of Learning: Use of
Mobile Media Devices
Among Youth.”
Convergence: The International
Journal of Research into New Media
Technologies
2012 8 GiE teachers pd
Can adults play
professionally?
2012 8 GiE teachers pd
What ??!!?
Can we do PD this way
        too?
What can we
learn from
expert teacher
life-narratives
about relevant
training and
professional
devlopment?
Participants
“Some stories are better than
others”
               -Dan McAdams (2009)
Participant Invites
2012 8 GiE teachers pd
Participants
     Invited
        GLS
        TotY
      Other
Total Participants
      n=39




                     Participants
                          Invited
                             GLS
                             TotY
                           Other
“Relevant”
Narratives
Life-Narrative Accounts (LNA)
     From Dan McAdams, (1993 & 2011)
Life-Narrative Accounts (LNA)
      From Dan McAdams, (1993 & 2011)




    Phase 1
   Context of
   Discovery
Life-Narrative Accounts (LNA)
      From Dan McAdams, (1993 & 2011)




    Phase 1                   Phase 2
   Context of              Context of
   Discovery               Justification
Life Narratives (2008)
Life Narratives (2008)
 • Family
 • Growth in Early Years

 • Problems
 • Epiphanies & Turning
    Points

 • Progress
Life Narratives (2008)     Trajectories of PD
 • Family
 • Growth in Early Years

 • Problems
 • Epiphanies & Turning
    Points

 • Progress
Life Narratives (2008)     Trajectories of PD
 • Family                  • Beginnings
 • Growth in Early Years   • Disposition and
                               Transformation

 • Problems                • Experience of PD
 • Epiphanies & Turning    • Experience of ICT
    Points
                           • Experience of
 • Progress                    Leadership
                            *Refinements
                            *Convergences
Desimone, 2011
PD   New beliefs   New Practice




                           Desimone, 2011
“I feel that it's
 rather an unorthodox
journey that I've had”
Disposition and Transformation



      PD      New beliefs        New Practice
Disposition and Transformation



      PD      New beliefs        New Practice
 Failure    New beliefs     PD       New Practice
Disposition and Transformation



      PD       New beliefs       New Practice
 Failure    New beliefs        PD    New Practice
      Existing beliefs    PD     New Practice
Disposition and Transformation



        PD         New beliefs     New Practice
  Failure      New beliefs        PD     New Practice
        Existing beliefs     PD    New Practice
Existing beliefs    Alternative Models     New Practice
Disposition and Transformation


                 Growth Toward         Growth Away


                     Positive           Progressive
   Predisposed
                  Predisposition       Predisposition


   Re-disposed External Realization Internal Realization
Disposition and Transformation




                  !
                  Positive       Progressive      Internal      External
               Predisposition   Predisposition   Realization   Realization

  Narratives         4                8             14            13
Where are expert teachers calling
   relevant PD experiences?
Experience of PD
Experience of PD

 Institutional
Experience of PD

 Institutional
Experience of PD

 Institutional     Personal
Experience of PD

 Institutional     Personal
Experience of PD

 Institutional     Personal
Institutional PD   Personal PD
Relevance of ICT Resources
Relevance of ICT Resources


Personal                Digital
Digital experiences outweigh
institutional experiences for expert
teachers - and this is fairly new.
PD in-community
2012 8 GiE teachers pd
“I’m constantly
worried that I’m
 going to break
  something.”
2012 8 GiE teachers pd
“Rather then reinvent the
  wheel there are already
   some teachers who are
doing great things and so
 a lot of the sharing has
   been easier not just
  between teachers... but
        strangers.”
“...I got the
  idea from
[students] and
 they kind of
  walked me
 through the
   steps.”
PD in-practice
2012 8 GiE teachers pd
I had the moment
where I realized
 I was teaching
 the same way my
 teachers taught
me in high school
 and I was bored
       then
2012 8 GiE teachers pd
I remember
crashing and
burning real
bad on what I
    would
  consider
 traditional
  lectures.
2012 8 GiE teachers pd
“Yeah, I love
   failure.
 Failure is
the only time
  I learn.”
Teachers are also predisposed and
have internal transformations (based
on failure).
PD in-game
2012 8 GiE teachers pd
“I began
 to play
Everquest
with one
and then
it began
to grow”
“I count my
   guild in
   World of
 Warcraft as
probably one
  of my top
professional
 development
   venues.
My twitter and
 ISTE and my
Second Life...
 are probably
 my strongest
   (PD)...”
“I don’t
know how I
  taught
without it.
  It’s an
  amazing
  tool.”
“It blew
my mind.
It was a
 pivotal
 turning
point in
my life.”
Gaming & online communities are
generative for adult learning.
2012 8 GiE teachers pd
Adults learn effectively
by playing games, with
others, learning to fail
  and carrying over
   exciting learning
 experiences to their
     classrooms.
What next?
Thank you
  Seann Dikkers
  Ohio University




                    The 21st Century Teaching Project

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2012 8 GiE teachers pd

Notas del editor

  1. Thank you to both advisors.\n\nThank you to GLS group and the inspiration...\n\nGOAL: To gather expert perspectives on where the work was weakest and what I should target in future work. \n \n\n\n\n
  2. \n
  3. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  4. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  5. \n
  6. Dr. Julie Nicolson & Priya Mariana Shimpi\nthe ability to “escape reality,” enhanced problem-solving, expansion of their minds, development of friendships and intimacy in relationships, greater pride in their accomplishments, connection to valued memories of important people and experiences in their past, feelings of joy and a loss of a sense of time, and deeper self-understanding.\n
  7. What are the experiences we should invest time and energy into developing? \n\n“We seem to be stuck … arguing over which factory-age solutions we should try without fully understanding the implications of the context we are in and the new functions we need education to perform.” \n –Trace Pickering (2012) systems design and development consultant in Iowa. \n\nExpert - Strong history of expert studies in teaching - for good reason. \n - but, obviously these are exceptions - no ‘findings’ are more than discussion starters. \n
  8. Study with Kurt. \n
  9. So we found others...\n
  10. What are the experiences we should invest time and energy into developing? \n\n“We seem to be stuck … arguing over which factory-age solutions we should try without fully understanding the implications of the context we are in and the new functions we need education to perform.” \n –Trace Pickering (2012) systems design and development consultant in Iowa. \n\nExpert - Strong history of expert studies in teaching - for good reason. \n - but, obviously these are exceptions - no ‘findings’ are more than discussion starters. \n
  11. What can we learn when we have adults play?\n
  12. \n
  13. \n
  14. What are the experiences we should invest time and energy into developing? \n\n“We seem to be stuck … arguing over which factory-age solutions we should try without fully understanding the implications of the context we are in and the new functions we need education to perform.” \n –Trace Pickering (2012) systems design and development consultant in Iowa. \n\nExpert - Strong history of expert studies in teaching - for good reason. \n - but, obviously these are exceptions - no ‘findings’ are more than discussion starters. \n
  15. Selection has to matter. \nThey have to represent the types of practitioners that we are interested in:\nNeed to be using “21st Century Tools” to transform their classrooms.\nNeed to be recognized outside of this study -- Awards with a vetting process. “Best of the best”\n
  16. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  17. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  18. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  19. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  20. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  21. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  22. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  23. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  24. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  25. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  26. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  27. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  28. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  29. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  30. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  31. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  32. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  33. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  34. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  35. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  36. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  37. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  38. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  39. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  40. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  41. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  42. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  43. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  44. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  45. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  46. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  47. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  48. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  49. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  50. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  51. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  52. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  53. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  54. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  55. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  56. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  57. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  58. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  59. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  60. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  61. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  62. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  63. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  64. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  65. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  66. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  67. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  68. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  69. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  70. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  71. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  72. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  73. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  74. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  75. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  76. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  77. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  78. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  79. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  80. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  81. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  82. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  83. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  84. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  85. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  86. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  87. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  88. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  89. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  90. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  91. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  92. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  93. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  94. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  95. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  96. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  97. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  98. 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n
  99. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  100. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  102. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  103. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  104. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  106. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  107. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  108. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  109. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  110. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  111. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  112. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  113. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  116. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  117. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  123. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  125. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  126. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  128. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  129. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  130. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  134. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  135. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  136. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  137. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  138. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  140. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  141. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  142. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  143. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  144. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  146. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  147. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  148. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  149. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  150. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  154. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  158. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
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  184. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  185. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  186. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  187. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  188. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  189. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  190. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  191. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  192. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  193. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  194. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  195. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  196. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  197. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  198. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  199. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  200. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  201. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  202. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  203. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  204. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  205. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  206. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  207. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  208. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  209. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  210. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  211. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  212. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  213. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  214. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  215. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  216. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  217. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  218. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  219. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  220. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  221. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  222. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  223. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  224. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  225. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  226. 6=Pub/Recognition, 4=NWP Profiles, 1=AMF winner, 7=ING 2010, 6=ING 2011, 4=PAEMST 2010, 14=PAEMST 2011, 47=toty\n\n\n
  227. People tend to narrative both positive and negative events in their lives, these correlate to different types of challenges within context - as participants see them. \n\nSelf-exploration of life narratives is a maturing process.\n\nThis study identifies what this exemplary group of teachers define as “relevant”. \n\n\n
  228. personality and life-span developmental psychology\nOk, so this is a methodology primarily used for identity construction... psychology. \nI liked it for it’s capacity to grab narrative as data across cases, but recognize the limits of using it for another purpose. \n\n
  229. personality and life-span developmental psychology\nOk, so this is a methodology primarily used for identity construction... psychology. \nI liked it for it’s capacity to grab narrative as data across cases, but recognize the limits of using it for another purpose. \n\n
  230. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  231. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  232. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  233. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  234. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  235. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  236. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  237. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  238. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  239. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  240. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  241. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  242. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n\nMcAdams (2008) “Personal Narratives and the Life Story, \nFamily, Growth in Early years, Problems, Epiphanies/Turning Points, Progress - Counter narratives. \n
  243. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \nFrom an outsiders view, this is easily seen as the only way to have affect.\nBut... it isn’t the way the most effective teachers operate. \n
  244. \n
  245. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  246. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  247. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  248. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  249. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  250. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  251. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  252. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  253. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  254. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  255. Same technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  256. Relevance of an activity was sorted according to how teachers perceived the narrative. \n\nMy goal was to capture their perception of relevant/positive narratives.\n\nThese are “stories about...” or narratives, not tallies. \n
  257. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  258. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  259. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  260. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  261. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  262. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  263. Framing these areas... Institutional, Personal, Digital.\n\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n“Conditioned” \nInstitutional = designed experiences that are primarily organized by the institution.\n
  264. Could just be a reflection of how it has always been... \nDifferences between expert teachers and the rest...\n\nResponsibility for professional growth is primarily on the teacher and the teacher’s time. \n\nMimi Ito’s “Hanging out” “Messing around” and “Geeking out” Idea generation largely coming out during these first two times.\n
  265. \n
  266. \n
  267. \n
  268. \n
  269. \n
  270. Again: for expert teachers...\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  271. \n
  272. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n\nHumility\n
  273. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n
  274. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n
  275. \n
  276. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n
  277. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n
  278. Student guidance... overcomes “techie”\n\nLearning online, networks, forums... Overcomes “failure”\n
  279. Again: for expert teachers...\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  280. Adults learn while playing games. =) Awesome!\n
  281. Teachers are not self-defined as techies, ICT was usually contextualized as a transformative attribute.\n Teachers not defining self as “techie”\nIndication that the tech itself, without formal application is successfully outperforming traditional designed PD in terms of relevance for expert teachers.\nAnd games...\nSimple to complex tools being used... \n\n\n
  282. Experience of PD\n
  283. Experience of PD\n
  284. Expeirence of ICT\n
  285. Teachers are not self-defined as techies, ICT was usually contextualized as a transformative attribute.\n Teachers not defining self as “techie”\nIndication that the tech itself, without formal application is successfully outperforming traditional designed PD in terms of relevance for expert teachers.\nAnd games...\nSimple to complex tools being used... \n\n\n
  286. Again: for expert teachers...\nSame technology that facilitates Massive Data Warehousing, (Populations of people), Efficiency of scale...\nIs fueling persona-tech too. \nStart with what people are doing and how they are socially constructing the tech. \n
  287. Wrap up.\nThen they go win awards. \nThen students say “thank you”. \n
  288. Wrap up. \n
  289. Thank you to both advisors.\n\nThank you to GLS group and the inspiration...\n\nGOAL: To gather expert perspectives on where the work was weakest and what I should target in future work. \n \n\n\n\n