Learning in a wisdom age world 2 show
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Learning in a wisdom age world 2 show



School learning and jobs of the future

School learning and jobs of the future



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Learning in a wisdom age world 2 show Learning in a wisdom age world 2 show Presentation Transcript

  • Learning in a Wisdom Age World
    John Findlay & Abby Straus
    Maverick & Boutique
  • Expansion of US workforce in the 20th Century
    Story is repeated in all OECD countries.
  • Routine jobs are declining.Expert jobs are increasing.
  • Radical shifts in 20th century workforce composition
  • Waves of Change
  • Predictive Pattern of Change
  • 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.
  • How should we prepare young people for the future?
  • Pedagogies for each stage of human development (that transcend and include all earlier stages)
  • What’s next?
  • Some Emerging Wisdom Age Jobs
    • Certified ethical hacker
    • Ecological footprint auditor
    • Conversation architect
    • Recycling consultant
    • Brain fitness coach
    • No-waste consultant
    • Complex projects leader
    • Organic food auditor
    • Chief cultural officer
    • Global governance director
    • Rituals designer
    • Mature age wellness manager
    • Human-human interaction consultant
    • Organic farmer
    • Polarity management mentor
  • A complex adaptive
    Learning System
    for making sense of a
    Wisdom Age world
  • Ideas from many conversations are generated and shared in
    real-time, keystroke-by-keystroke to create a “shared brain.”
  • Every idea is announced and valued. Participants look for the patterns in the ideas that bridge the differences in the room.
  • New knowledge emerges across the boundaries of our world views.
  • People
    Emergent shared
  • Sequences of rich questions are used to reach consensus about strategy, tactics, new theories, etc. through idea integration.
  • Experiment: What happens in our brains when we ask different kinds of questions?
    Closed, left brain, automatic
    Rich and open, right brain, auto catalytic
  • Emergent Learning Process
    Using Rich Question Sequences
  • 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.
  • Types of Discourse
  • Learning Game Design Principles
    • Open-ended discussible questions or activities
    • Question sequences - 6 or 7 questions
    • Start with tacit knowledge or data collection
    • Build on a progressive firm foundations
    • Process ends with action plan, theory, model.
    • Scaffolds/prompts/check lists
    • Includes rewards e.g. next question includes the results from previous question.
    • Fun, engaging, surprising, interesting language
  • Example of a Learning Game
    1. Brainstorm a list of all the different kinds of arts. e.g., theatre, novels....
    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.
    3. What do all the arts have in common? What makes them interesting, exciting, entertainting?
    4. What kinds of jobs do people have in the arts?
    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.
  • Some examples of our suites of meeting and learning applications that replicate the methods of the world’s thought leaders
  • How to get started
  • Visit
    John Findlay, findlay@anyzing.com
    Abby Straus, straus@anyzing.com