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

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.

Visual Synectic What does this picture have to do with data? Adapted from Groups at Work – 2011--MiraVia LLC

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

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

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

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

Calibrating Activity

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

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

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)

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?

Next Steps

Reflection, Feedback, and Wrap-Up

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

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

Wrap Up

MNPS Collaborative Inquiry Toolkit www.mnpscollaboration.org

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 http://www.nsrfharmony.org/system/files/protocols/chalk_talk_0.pdf