Learning in a wisdom age world 2 show

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School learning and jobs of the future

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Learning in a wisdom age world 2 show

  1. 1. Learning in a Wisdom Age World<br />John Findlay & Abby Straus<br />Maverick & Boutique<br />
  2. 2. Expansion of US workforce in the 20th Century<br />Story is repeated in all OECD countries.<br />
  3. 3. Routine jobs are declining.Expert jobs are increasing.<br />
  4. 4. Radical shifts in 20th century workforce composition<br />
  5. 5. Waves of Change<br />
  6. 6. Predictive Pattern of Change<br />
  7. 7. This pattern to human social and technological development closely approximates the Feigenbaum delta, 4.669*, the ratio of the emergence of successive periods (period doubling cascades) of complex systems such as ecologies and markets.<br />
  8. 8. How should we prepare young people for the future?<br />
  9. 9. Pedagogies for each stage of human development (that transcend and include all earlier stages)<br />
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  13. 13. What’s next?<br />
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  15. 15. Some Emerging Wisdom Age Jobs<br /><ul><li>Certified ethical hacker
  16. 16. Ecological footprint auditor
  17. 17. Conversation architect
  18. 18. Recycling consultant
  19. 19. Brain fitness coach
  20. 20. No-waste consultant
  21. 21. Complex projects leader
  22. 22. Organic food auditor
  23. 23. Chief cultural officer
  24. 24. Global governance director
  25. 25. Rituals designer
  26. 26. Mature age wellness manager
  27. 27. Human-human interaction consultant
  28. 28. Organic farmer
  29. 29. Polarity management mentor</li></li></ul><li>A complex adaptive <br />Learning System<br />for making sense of a <br />Wisdom Age world<br />
  30. 30. Ideas from many conversations are generated and shared in <br />real-time, keystroke-by-keystroke to create a “shared brain.”<br />
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  32. 32. Every idea is announced and valued. Participants look for the patterns in the ideas that bridge the differences in the room.<br />
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  34. 34. New knowledge emerges across the boundaries of our world views. <br />
  35. 35. People<br />Emergent shared<br />knowledge<br />Ideas<br />
  36. 36. Sequences of rich questions are used to reach consensus about strategy, tactics, new theories, etc. through idea integration.<br />
  37. 37. Experiment: What happens in our brains when we ask different kinds of questions?<br />Closed, left brain, automatic<br />Rich and open, right brain, auto catalytic<br />
  38. 38. Emergent Learning Process<br />Using Rich Question Sequences<br />
  39. 39. Conversations in pairs, sharing of ideas, and sense-making using a dialectical discourse method achieves consensus, so the best, most richly integrated ideas emerge that are a good fit with the environment/context.<br />
  40. 40. Types of Discourse<br />
  41. 41. Learning Game Design Principles<br /><ul><li>Open-ended discussible questions or activities
  42. 42. Question sequences - 6 or 7 questions
  43. 43. Start with tacit knowledge or data collection
  44. 44. Build on a progressive firm foundations
  45. 45. Process ends with action plan, theory, model.
  46. 46. Scaffolds/prompts/check lists
  47. 47. Includes rewards e.g. next question includes the results from previous question.
  48. 48. Fun, engaging, surprising, interesting language</li></li></ul><li>Example of a Learning Game<br />1. Brainstorm a list of all the different kinds of arts. e.g., theatre, novels....<br />2. Choose two of these art forms with which you are familiar, and describe what you like about each one. Ballet, rock music, jazz, opera, poem, movie, paintings, novels, sculpture, photographs, comics, cartoons.<br />3. What do all the arts have in common? What makes them interesting, exciting, entertainting?<br />4. What kinds of jobs do people have in the arts?<br />5. Choose one of these jobs and explain what skills you might need, what you would have to learn for the work that you do. Writer. Singer. Jazz pianist. Movie director. Actor. Cartoonist. Dancer. Photographer. Painter. <br />
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  60. 60. Some examples of our suites of meeting and learning applications that replicate the methods of the world’s thought leaders<br />
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  73. 73. How to get started<br />
  74. 74. Visit<br />anyzing.com<br />learninginteams.com<br />relatingwell.co.uk<br />generatinggenius.com<br />Contact<br />John Findlay, findlay@anyzing.com<br />Abby Straus, straus@anyzing.com<br />

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