Data Driven Dialogue: Practical Strategies for Collaborative Inquiry

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Presentation transcript:

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

Facilitative Patterns Read pages 9-17 Identify 5 significant ideas Be ready to share your thinking Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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. Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

• Facilitative Patterns Today • Welcome • Facilitative Patterns • The Collaborative Learning Cycle Theory into Practice • Making Meaning Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

5-3-1 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) Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

Please return at 11:00 BREAK Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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

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

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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. Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

Decision-making Limitations Cognitive abilities of individuals and groups The work / the task External and internal environments Herbert Simon Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

Please return at 12:45 LUNCH Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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

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

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

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

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

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

Principles of Data-Driven Dialogue Conscious Curiosity Purposeful Uncertainty Visually Vibrant Information Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

Data Station Set-Up Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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

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

BREAK Please return at 2:42 Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

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

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

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

Implications and Applications -- h/o p. 20 Based your learning in this seminar, what might you: • Stop doing • Continue doing • Start doing Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved

Meeting Partners - Handout Pg. 20 DATA Your Partner’s Name GROUP MEDIA CHART PERSON Data-Driven Dialogue - Copyright 2006 – MiraVia LLC – All rights reserved