Welcome Please sit in groups. Thanks. November 29, 2016

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Presentation transcript:

Welcome Please sit in groups. Thanks. November 29, 2016 Margie Johnson, Ed.D. Business Intelligence Coordinator

Today’s Purpose and Outcome Our purpose is to foster a culture of collaboration to support student success. Our outcome for today’s meeting is to use culture and climate data and model the collaborative inquiry process to generate theories of causation and next steps.

Groups at Work – 2011 MiraVia LLC – All rights reserved Culture is like….. Because…….. Groups at Work – 2011 MiraVia LLC – All rights reserved

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

Collaborative Inquiry Collaborative Inquiry is stakeholders working together to uncover and understand problems and to test out solutions together through rigorous use of data and reflective dialogue. Assumption: This process unleashes the resourcefulness of stakeholders to continuously improve learning. Adapted from N. Love, K.E. Stiles, S. Mundy, and K.DiRanna, 2008

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? 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 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? --Lipton, L. & Wellman, B. (2012). Got data? Now what? Bloomington, IN: Solution Tree, Inc.

Observations

Because Observations What important points seem to pop out? What seems to be surprising or unexpected? What patterns, categories, or trends are emerging? What are some questions this data generates? Because

Organizing and Integrating

Causal Categories Now that we have activated, engaged, explored, and discovered observations about the data, let’s begin organizing and integrating the data to generate theory. During this phase, we move from problem finding to problem solving. When looking at causation, theories fall into these five causal categories---- Let’s take few minutes to work in your small groups to complete the Theories of Causation worksheets. --Lipton, L. & Wellman, B. (2012). Got data? Now what? Bloomington, IN: Solution Tree, Inc.

Individually generate a couple of theories of causation. Students lack social emotional and self-regulatory skills. Teachers’ instructional methods are not engaging to students. Teachers lack the knowledge and skills to facilitate learning in their classrooms.

Reflection What might be some actions you take as a result of our time together today?

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.

Thanks for all you do for our students! Hope you have a wonderful day!