One Answer Is No Answer: Teaching as Learning
Nothing is intractable. Live Virtual Workshop June 2016 Glenda Eoyang
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Today we will explore . . . ► What is deep learning? ► So what questions set conditions for a deep learning ecology? ► Now what are implications for teaching and learning?
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WHAT is deep learning?
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Not All Learning is Deep Learning Learning
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Deep Learning
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Not All Learning is Deep Learning Learning Predictable
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Deep Learning Surprising
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
Memory
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Imagination
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
Memory Outcomes-based
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Imagination Capacity-based
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
Memory Outcomes-based Specific
© 2016 Human Systems Dynamic Institute | Use with permission.
Imagination Capacity-based General
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
Memory Outcomes-based Specific Consistent
© 2016 Human Systems Dynamic Institute | Use with permission.
Imagination Capacity-based General Coherent
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Not All Learning is Deep Learning Learning
Deep Learning
Predictable
Surprising
Replication
Innovation
Memory Outcomes-based Specific
Imagination Capacity-based General
Consistent
Coherent
Communal
Personal
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Deep Learning Does Not Give . . . ► ► ► ► ► ►
The “right” answer Predictable timeframes Reliable outcomes Consistent results Expert power Certainty
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Deep Learning Helps You . . . ► ► ► ► ► ► ►
Thrive in uncertainty Find the fix that fits Engage with others Practice Praxis Improvise Ask the next transforming question And . . .
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What Does Deep Learning Look Like? ► ► ► ► ► ► ►
One mole of CaCl W-A-T-E-R Cartwheels Try it, it works! Do you mean . . .? Doesn’t every question include a bit of advice? And . . . .
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SO WHAT sets conditions for a deep learning ecology?
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So what is our context? What are our aspirations?
Now what are our practices?
Who are we? What is our question?
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Justice Freedom Coherence
Inquiry Adaptive Action Pattern Logic
Peacemakers How can we be more effective?
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People Power Resources
Implement health in all policies Strengthen community capacity Expand understanding of health
Public Health Professionals How do we create health equity?
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Adaptive Action Pattern Logic
HSD Simple Rules
HSD Professionals How do we continue our learning?
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NOW WHAT are the implications for teaching and learning?
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Teaching IS Learning Learning IS Teaching ► ► ► ► ► ►
Inquiry is the key Failure is required Innovation is necessary Choice is deliberate Partnership is mutual And . . .
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Today we explored . . . ► What is deep learning? ► So what questions set conditions for a deep learning ecology? ► Now what are implications for teaching and learning?
© 2016 Human Systems Dynamic Institute | Use with permission.
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Learn more . . . ►
Webinars: w Education w Live Virtual Workshops
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Online: w Adaptiveaction.org w HSDinstitute.org w Wiki.hsdinstitute.org
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Adaptive Action Labs: w HSD Professional Certification—July in Las Vegas w Leadership in Health Professions Education—September online
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Join us for upcoming webinars May 12th, 11 am CST Live Virtual Workshop
Courage to Create: Build Adaptive Capacity for Continuous Innovation
Jun 2nd, 11 am CST Live Virtual Workshop
One Answer is No Answer: Teaching as Learning
Jun 16th, 11 CST Quarterly Associates Meeting
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