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Viz Think 4   Concept Mapping V4
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Viz Think 4 Concept Mapping V4


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  • 1. VizThinkToronto 4 – Concept Mapping
  • 2. Tonight’s Agenda
    • 7:15 Before we do any Concept Mapping
      • Seeing knowledge: to communicate using pictures
      • Construction as meaningfully engage what you already know
    • 7:20 Explore your disciplinary view
      • Assigned a discipline
      • Express visually in your discipline
      • Neighbour: Interpret what you see
      • When is this easier / harder?
    • 7:25 Debrief
    • 7:35 What is concept mapping anyway?
      • Examples
      • Instructions
    • 7:45 Your turn
    • 8:30 Recap
    • 8:45 Review others models
    • 9:00 Beer at Shoeless Joes.
  • 3. Why Concept Mapping?
    • Concept Mapping helps meaningfully composite knowledge
    • Organized knowledge is more easily understood
    • Meaningful Leaning is better
      • Anchor new ideas or concepts using previously defined knowledge
    Constructivism rejects the notion that one can simply pass on information to learners, expect that a understanding will result, and that a lasting impression will be made.
  • 4. Who uses Concept Mapping? Panama Government - Every School by Constitutional mandate NASA Weather systems theory Explaining the MARS Lander Martin!
  • 5. Let’s explore the concept of a car…
  • 6. Through the eyes of a discipline Environmentalist Mechanic Sociologist Economist
  • 7. Each work on your picture around your table If a picture speaks a thousand words… No writing (including discipline) No talking No looking Draw: Major ideas of the discipline as related to Cars
  • 8. Rotate diagrams with you neighbour Neighbour: Annotate with your interpretation Draw Write No talking Repeat to the next neighbour
  • 9. Discuss!
    • Are the annotations correct?
    • What’s difficult to interpret?
    • Are some disciplines easier to represent?
    • How much shared thinking did you come in with?
  • 10. Debrief
    • Communicating via pictures is much easier when
      • You share perspective
      • You share a level of abstraction
      • You can annotate with words
    Your table had very little of this shared context
  • 11. Now that you have brainstormed by yourself
      • Find your like-minded team members
      • 4 per team so you all talk
      • Now can think about Concept Mapping!
    Environmentalist 1 Economist 1 Economist 2 Sociologist 1 Sociologist 2 Mechanics 1 Mechanics 2 Environmentalist 2
  • 12. But first, what is a Concept Map?
  • 13. Or, more simply
    • Concepts :
      • Concept Map
      • Linking phrases
      • Relationships
      • Concepts
    • Propositions
      • A concept map is composed of linking phrases
      • A concept map identifies relationships
      • Relationships are what is between concepts
      • A concept map is composed of concepts
      • 2 or more concepts
      • connected with other words
      • to form a meaningful statement .
  • 14. A Sheridan Student’s Concept Map on 1946
  • 15. A Sheridan Student’s Concept Map on the Kyoto Protocol
  • 16. Used in Commercial applications J. Novak 10-18-00
  • 19. So far… Brainstorm by yourself Collaborate
  • 20. Now that you have brainstormed
      • Find your like-minded team members
      • Pick a corner of a room
      • 4 per team so you all talk
    • Hierarchical structure the most
    • inclusive, most general concepts at the center top of the map
    • the more specific , less general concepts arranged hierarchically below .
    Use string! Keep the model flexible!
  • 21. Understand Cars: Environmentalists View
  • 22. Recap Brainstorm Collaborate Understand & Innovate !
  • 23. In Summary, why concept map?
    • Constructing Concept Maps enables you to
      • Relate new concepts to existing concepts and ideas – improves understanding
      • Reorganize knowledge
      • Make explicit descriptions of concepts and their interrelationships
      • Deeply process knowledge – promote better remember / retrieve & apply
    • This is important because the world is spinning faster
      • Make sense of all this information being generated, e.g. on wikis and blogs
      • The Semantic Web is coming!
  • 24. Reflect… over a beer?
  • 25.
    • Acknowledgements and thanks:
      • ( Mauro Messerotti, INAF-Astronomical Observatory of Trieste)