1. A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2008 by Corwin Press. All rights reserved. S 1.1 LEAD DATA TEAM Welcome Big 5 Department Leaders!

2. S 1.2 GOOD MORNING! When you are settled in, jot down: a)One question that you have down coming into this session b)What are you hoping to learn this morning? A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

3. S 1.3 Agenda Data Teams Meeting #2: December 22, 2015 8:30 am to 12:30 pm NFSB Technology Lab 8:30 to 9:30Welcome and Scavenger Hunt 9:30 to 10:00Recap of Meeting #1 / Evidence-Based Project Timeline 10:00 to 10:30Roundtable 10:30 to 11:00Norms of Collaboration, Data Team Responsibilities 11:00 to 11:20Health Break 11:20 to 12:10 End-of-Cycle Evaluations, Grade and PM Benchmarks (with Gail McDonald and Richard Drapeau) 12:10 to 12:30Groundwork for Meeting #3: Student Work Artifacts Recording Tool 12:30 to 1:15Lunch 1:15 to 2:00LDT/PLC school-based planning A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

4. S 1.4 Objective: To use data more effectively to influence instruction. To build leadership and capacity to bridge gap from data to results. To enhance collaboration amongst teachers/departments/schools to improve teaching and learning. A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

5. S 1.5 Inquiry: Developing a Data Mind- Set Data Teams are driven by their most burning questions about student learning. Often, it is the question that drives the search for information. It is through this treasure hunt that Data Teams determine their focus. (p. 15: The Leadership and Learning Center: Data Teams Training Manual) A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

6. S 1.6 Responses following first meeting in November: A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved. Guiding Questions How can data results help improve our teaching and increase success rates? What does data from the last few years (MELS exams) tell us about our teaching? How can we target and improve the instruction of our topics with lower student results? What can we do to help students be more accountable for their success? Based on the item analysis, how can we improve our results on specific Intellectual Operations? How can we use this data to improve our students’ success/learning?

7. S 1.7 Comments/suggestions More detailed breakdown of exam results Get more information about sharing data at the lower levels Solutions to student motivation (or lack thereof) Think about strategies to use in a data team meeting (step-by-step ideas) Look at the breakdown of the exam questions to guide our teaching even more. Convey the importance of finding time to meet to the principals How can using data help us to get positive results? Would you be ready to compare data to find the solutions to help our students? Do you see the advantage of this process of collaboration? How can we make results from the MEESR exams relevant to the other teachers in the department who do not teach the course? A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

8. S 1.8 A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2008 by Corwin Press. All rights reserved. Building the Bridge Between Data and Results Instructional Improvement Data UseCollaboration Leadership & Capacity Culture/Equity/Trust

9. S 1.9 USING DATA: To identify student learning problems To identify possible solutions A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

10. S 1.10 A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2008 by Corwin Press. All rights reserved. The Using Data Process (handout H1.1)

11. S 1.11 A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2008 by Corwin Press. All rights reserved. Data-Driven Dialogue Detail Adapted from Wellman, B., & Lipton, L., 2004. Data-Driven Dialogue: A Facilitator’s Guide to Collaborative Inquiry. Sherman, CT: MiraVia, LLC. Used with permission.

12. S 1.12 “Assessment for learning…when done well, this is one of the most powerful, high-leverage strategies for improving student learning that we know of. Educators collectively at the district and school levels become more skilled and focused at assessing, disaggregating and using student achievement as a tool for ongoing improvement” (Fullan, 2005, p.71) A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

13. S 1.13 A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

14. S 1.14 Release days for secondary department heads and cycle one teachers to begin to develop PLCs, review data/results and be introduced to the process of common formative assessments occurring at the elementary level Release days for elementary and high school teams for MESA development (all schools) Cycle 1 meeting to discuss and develop CFA for grade 7 and 8. Use of board-wide ped days to support the school teams Presentation and year-end round up with both elementary, Cycle 1 teachers and department heads MESA review day All school teams come together for a review of our board results and a reflection on their process, current understanding and future planning for PLCs, use of data and common formative assessments A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.

15. S 1.15 Exit Card: Refer back to this morning’s activity. Was your question answered? (if not, please place it in the parking lot) Did you learn what you had hoped? (if not, please place it in the parking lot) A Data Coach’s Guide to Improving Learning for All Students: Unleashing the Power of Collaborative Inquiry © 2007 by Corwin Press. All rights reserved.