1. Cole Elementary Grade Level Team Meetings
Please sit in a group. Thanks!
October 26, 2017
Margie Johnson, Ed.D.

2. Outcomes
Our outcomes today are to use the collaborative inquiry process for analyzing multiple sources of data and developing recommended BHAG math goal(s) for the year.

3. Visual Synectic What does this picture have to do with data?
Adapted from Groups at Work – MiraVia LLC

4. Data have no meaning. Meaning is imposed through interpretation
(Wellman & Lipton, 2004, pp. ix-xi).

5. Collaborative Inquiry
How do we bridge the gap between data and results, so all students have educational success? What is the bridge made of?
Collaborative
Inquiry
Data
Results
Love, 2009

6. MNPS Collaborative Inquiry
Collaborative Inquiry is a data-based team process that consciously uses the collaborative learning cycle (activating and engaging, exploring and discovering, and organizing and integrating) and the qualities of effective groups (fostering a culture of trust, maintaining a clear focus, taking collective responsibility and data-informed decision-making).
MNPS Collaborative Inquiry Community of Practice

7. Collaborative Learning Cycle
Activating and Engaging
What assumptions do we bring?
What are some predictions we are making?
What questions are we asking?
What are some possibilities for learning?
Exploring and Discovering
What important points seem to pop out?
What patterns, categories, or trends are emerging?
What seems to be surprising or unexpected?
What are some ways we have not yet explored these data?
Organizing and Integrating
What inferences, explanations, or conclusions might we draw?
What additional data sources might verify our explanations?
What solutions might we explore?
What data will we need to guide implementation?
Managing
Modeling
Mediating
Monitoring
--Lipton, L. & Wellman, B. (2012

8. Calibrating Activity

9. Exploring and Discovering—Data Dive
Assessment—Assessment Summary by Subgroups for math (MAP & FAST Bridge).

10. Collaborative Learning Cycle
Activating and Engaging
What assumptions do we bring?
Exploring and Discovering
Managing
Modeling
Mediating
Monitoring
Organizing and Integrating
--Lipton, L. & Wellman, B. (2012

11. Leaders who get the best results combine an ability to set inspiring goals and a willingness to admit that they don’t know exactly how to accomplish those goals.
--Kate Sweetman
(Sparks, 2007)

12. Effective Goals are SMART
Specific
Measurable
Acceptable
Relevant
Timeframe
Specific
What is the desired result? (who, what, when, why, how)
Measurable
How can you quantify (numerically or descriptively) completion?
How can you measure progress?
Achievable
What skills are needed?
What resources are necessary?
How does the environment impact goal achievement?
Does the goal require the right amount of effort?
Relevant
Is the goal in alignment with the overall mission or strategy?
Time-bound
What is the deadline?
Is the deadline realistic?

13. Next Steps

14. Reflection, Feedback, and Wrap-Up

15. Exit Ticket Reflection
Given what we have discussed and learned today, what might be some actions you take?

16. Feedback--- How Was Today’s Meeting
Individually
Use a post-it note to provide feedback.

17. Wrap Up

18. MNPS Collaborative Inquiry Toolkit

19. References
Lipton, L. & Wellman, B. (2012). Got data? Now what? Bloomington, IN: Solution Tree. Lipton, L. & Wellman, B. (2011). Groups at work: Strategies and structures for professional learning. Sherman, CT: MiraVia, LLC. Love, N. (2009). Using data to improve learning for all: A collaborative inquiry approach. Thousand Oaks, CA: Corwin. Love, N., Stiles, K.E., Mundy, S., & DiRanna, K. (2009). The data coach’s guide to improving learning for all students: Unleashing the power of collaborative inquiry. Thousand Oaks, CA: Corwin. Sparks, D. (2007). Leading for results: Transforming teaching, learning, and relationships in schools. Thousand Oaks, CA: SAGE Publications. Wentworth, M. (n.d.) Chalk talk. National School Reform Faculty website. Retrieved from