1. Creating your organizational learning infrastructure George
Siemens Corporate Learning: Trends and Innovations November 20,
2007
2. traditional approach
3. we know
4. content
5. tools
6. goals
7. They dont
8. so
9. we designed
10. infrastructure of learning
11. using
12. acronyms
13. LMS
14. CMS
15. LCMS
16. and terms
17. {insert your own buzzwords}
18. But
19. mismatched
20. concepts
21. approaches
22. forgot context
23. neglected learner
24. strategy
25. intent of learning
26. created a static infrastructure
27. tools
28. process
29. reflected views of learners and knowledge
30. where are we?
31. information growth
32. different people
33. different competitors
34. different rules
35. BRIC
36. and yet...
37. value=ability to function in this space
38. what do we need?
39. an infrastructure of adaptability
40. points of tension retained
41. not eliminated
42. diversity
43. but...
44. we also need stability
45. we need approaches
46. understood at the decision table
47. web 2.0, blogs, wikis, social media, social networking,
enterprise 2.0, podcasts, virtual worlds, participatory culture,
adaptive design, Second Life, LMS, LCMS, mashups, RSS,
folksonomies, information literacy, web 3D, convergence,
remixability, microformats, long tail, vblog, mobile web, perpetual
beta, weak ties, network effects, power laws, and on and on and on
and on
48. aren't
49. What is understood?
50. strategy
51. performance
52. return/investment
53. global competitiveness
54. experimentation? ROI?
55. They dont
56. in a cycle of transition
57. transition=uncertainty
58. uncertainty=changed metrics
59. walk in two dimensions
60. They dont
61. how do we make sense?
62. learning infrastructure
63. tools
64. approach
65. design
66. view of LOCT
67. learner
68. organization
69. content
70. technology
71. structure for tomorrows needs
72. KM? CM? EPSS? JIT?
73. if its learning to do/act/think, it doesnt matter what you
call it
74. fragmentation=different results
75. centralization=familiarity and consistency
76. so...
77. match task to intent
78. clear outcomes?
79. innovate?
80. enter new market?
81. different paths lead in different directions
82. Conceptual Experimental Implementation
83. Learning needs
84. one approach
85. won't work
86. act in context
87. They dont
88. deep smarts
89. diverse smarts
90. a model
91. Simple Model
Analysis and validation
Ecology and network fostering
Adaptive learning and knowledge cycle
System review and validation
Impacting factors
92. They dont
93. They dont Domain: Analysis and Validation
94. They dont Domain: Ecology and Network Fostering
95. They dont Domain: Adaptive Learning and Knowledge
Cycle
96. They dont Domain: System Review and Validation