1. Data Driven Dialogue: Practical Strategies for Collaborative Inquiry
Day Two
Data Driven Dialogue: Practical Strategies for Collaborative Inquiry
Developed by:
Bruce Wellman and Laura Lipton
Co-Directors, MiraVia, LLC
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

2. Facilitative Patterns
Read pages
Identify 5 significant ideas
Be ready to share your thinking
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3. With your neighbors, review and clarify strategies.
Strategy Harvest
With your neighbors, review and clarify strategies.
Select 2-3 strategies and develop applications for your work.
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4. • Facilitative Patterns
Today
• Welcome
• Facilitative Patterns
• The Collaborative Learning Cycle Theory into Practice
• Making Meaning
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5. h/o p.7
Share your 5 ideas -- one at a time in round robin order - exploring the ideas as they emerge
Select 3 central ideas
If you were to put your 3 central ideas in a box or container, what might 1 label be?
Be ready to share WHAT (your label)
& WHY (reasons for choosing it)
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6. Group Development Rubric h/o p. 8-10
ATTENTION TO: U CI CC
F & F
TASK:
Learning-Focused
Time and Energy Efficient
Data-Driven
PROCESS:
Shared Tools and Structures
Learning-Focused Conversations
Data-Driven Dialogue
RELATIONSHIP:
Shared Norms/ Values
Collaborative Cultures
Professional Community
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7. Please return at 11:00 BREAK
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8. High Five’s Form trios, as follows:
Leaving your table, with a raised hand, travel around the room and find two people with whom you have not yet worked
Once you’ve clasped hands, choose a spot to sit together, gather your things and join your new trio
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

9. COLLABORATIVE LEARNING CYCLE - Pg.44
Activating
and
Engaging
Organizing
and
Integrating
Managing
Modeling
Mediating
Monitoring
Exploring
and
Discovering
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

10. Form trios and letter off A-C
Read and Connect
Form trios and letter off A-C
Everyone reads the designated passage; then:
Trio members generate implications for your settings
“A’s: then offer a summarizing statement
Repeat the pattern with “B” and “C” for the
remaining sections
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11. Trios combine to form groups of six.
Regrouping
Trios combine to form groups of six.
Share some of the implications and connections that you generated.
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12. Decision-making Limitations
Cognitive abilities of individuals and groups
The work / the task
External and internal environments
Herbert Simon
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13. Please return at 12:45 LUNCH
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14. that would NOT be obvious to others (and that might surprise us)
FINDING COMMON GROUND
Your task is to find 2-3 things that your entire group has in common --
that would NOT be obvious to others
(and that might surprise us)
TIME: 5 minutes
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15. COLLABORATIVE LEARNING CYCLE - Pg.44
Activating
and
Engaging
Organizing
and
Integrating
Managing
Modeling
Mediating
Monitoring
Exploring
and
Discovering
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

16. COLLABORATIVE LEARNING CYCLE
Activating and Engaging
Surfacing Experiences and Expectations
What are some predictions we are making?
With what assumptions are we entering?
What are some questions we are asking?
What are some possibilities for learning that this experience presents to us?
Managing
Modeling
Mediating
Monitoring
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

17. COLLABORATIVE LEARNING CYCLE
Managing
Modeling
Mediating
Monitoring
Exploring and Discovering
Analyzing the Data
What important points seem to “pop-out”?
What are some emerging patterns, categories or trends ?
What seems to be surprising or unexpected?
What are some things we have not yet explored?
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

18. COLLABORATIVE LEARNING CYCLE
Organizing and Integrating
Generating Theory
What inferences/explanations/conclusions might we draw? (causation)
What additional data sources might we explore to verify our explanations? (confirmation)
Managing
Modeling
Mediating
Monitoring
What are some solutions we might explore as a result of our conclusions? (action)
What data will we need to collect to guide implementation? (calibration)
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19. COLLABORATIVE LEARNING CYCLE - Pg.44
Activating
and
Engaging
Organizing
and
Integrating
Managing
Modeling
Mediating
Monitoring
Exploring
and
Discovering
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

20. COLLABORATIVE LEARNING CYCLE
Activating and Engaging
Surfacing Experiences and Expectations
What are some predictions we are making?
With what assumptions are we entering?
What are some questions we are asking?
What are some possibilities for learning that this experience presents to us?
Managing
Modeling
Mediating
Monitoring
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

21. Principles of Data-Driven Dialogue
Conscious Curiosity
Purposeful Uncertainty
Visually Vibrant Information
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22. Data Sample 1. Grade 7 Reading percent correct by strategy
2. Grade 7 Reading percent correct - types of comprehension - literal, inferential, critical
3. Grade 7 Reading percent correct - types of comprehension - literal, inferential, critical - by gender.
4. Grade 7 Reading percent correct by text type: narrative, poetic, informational, persuasive, procedural,visual, technical
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23. DATA TEAMS H/O p. 13
RECORDER: Be sure to check with each team member before recording observations
MATERIALS MANAGER: Organize data, display set up charts for viewing, recording
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24. DATA TEAMS
PROCESS CHECKER: Use the Collaborative Cycle (p.44) to guide the process: Monitor for balanced participation
ENVIRONMENTAL ENGINEER: Organize the physical arrangement for team work – chairs in a horseshoe around the central displays
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25. Data Station Set-Up
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26. COLLABORATIVE LEARNING CYCLE
Managing
Modeling
Mediating
Monitoring
Exploring and Discovering
Analyzing the Data
What important points seem to “pop-out”?
What are some emerging patterns, categories or trends ?
What seems to be surprising or unexpected?
What are some things we have not yet explored?
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

27. REFLECTION • What are you noticing about yourself as a participant?
• What do you want to be aware of when you apply this phase with others?
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28. BREAK Please return at 2:42
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29. REFLECTION What are you noticing about yourself as a participant?
What do you want to be aware of when you apply this phase with others?
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

30. COLLABORATIVE LEARNING CYCLE
Organizing and Integrating
Generating Theory
What inferences/explanations/conclusions might we draw? (causation)
What additional data sources might we explore to verify our explanations? (confirmation)
Managing
Modeling
Mediating
Monitoring
What are some solutions we might explore as a result of our conclusions? (action)
What data will we need to collect to guide implementation? (calibration)
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

31. Theories of Causation - h/o p. 14
Framing: Observation, Question, Hypothesis (“story line”)
Use this space to record two possible theories of causation re: your observation, question, or hypothesis 1. 2.
Circle one theory. In this space, record at least three sources of data you could use to confirm this theory.
Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

32. Implications and Applications -- h/o p. 20
Based your learning in this
seminar, what might you:
• Stop doing
• Continue doing
• Start doing
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33. Meeting Partners - Handout Pg. 20
DATA
Your Partner’s Name
GROUP
MEDIA
CHART PERSON
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