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Coaching Data Teams DEVELOPED BY JANE COOK LITERACY & TECHNOLOGY COACH, EASTCONN & BETH MCCAFFERY SCHOOL IMPROVEMENT.

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Presentation on theme: "Coaching Data Teams DEVELOPED BY JANE COOK LITERACY & TECHNOLOGY COACH, EASTCONN & BETH MCCAFFERY SCHOOL IMPROVEMENT."— Presentation transcript:

1 Coaching Data Teams DEVELOPED BY JANE COOK LITERACY & TECHNOLOGY COACH, EASTCONN & BETH MCCAFFERY SCHOOL IMPROVEMENT COORDINATOR, LEARN Revised 11/10/09

2 Purpose of Training To highlight characteristics of high quality coaching practices and review the roles of a Data Coach To examine the coaching process and learn tools to use as a Data Coach to improve Data- Driven Decision Making (DDDM) To develop an action plan for implementing data coaching practices to support DDDM

3 Objectives for Learners Participants will: Examine the research on coaching that supports Data- Driven Decision Making and Data Teams. Identify what an effective Data Coach needs to know and be able to do. Observe and apply coaching behaviors that influence best practices and result in high student achievement. and evaluate when each tool may be most appropriate.

4 Essential Questions 1. What does an effective Data Coach need to know and be able to do? 2. What is the research that supports data coaching? 3. What tools can Data Coaches employ to help educators use data to inform curriculum, instruction and assessment?

5 What are the characteristics of an effective Data Coach? Directions (See pp. 3-6 in your handout): Individually write 5 characteristics that an effective coach should possess. Share your response with a partner.

6 What are the characteristics of an effective Data Coach? (continued) Directions (See pp. 3-6 in your handout): Join another partner group to form a group of four. Select 5 distinct responses to the question. Write each response on large post it notes.

7 What are the characteristics of an effective Data Coach? (continued) Directions (See pp. 3-6 in your handout): Have one member of your group place your groups large post it note responses on the chart paper posted around the room. When directed, go to the chart paper and organize the post it notes into logical groupings, building an Affinity Diagram. When asked, suggest a logical header for each group. The trainer will write a header card based on the groups suggestions. Summarize the results gathered by the coaches and debrief the activity by asking: How might an affinity diagram be useful in your work with Data Teams?

8 What does the research say? Characteristics of Effective Coaches Beliefs Teaching expertise Coaching skills Relationship skills Content expertise Leadership skills See page 7 in handout

9 What are the Big Ideas related to Essential Question 1 - What does an effective Data Coach need to know and be able to do? Essential Question 1 Closure

10 Data Coaches Jigsaw Activity Directions: Count off by 4s and get into your Expert Group by number. Read the following sections in the chapter on pp in your handout: –The 1s will read the Introduction section. –The 2s will read the Knowledge and Skills section. –The 3s will read the Challenges section –The 4s will read the Snapshot of a Coach as a Data Coach section In your group, develop a method and materials to teach your Home Group about your section. Youll have 2.5 minutes to teach your section.

11 Data Coaches Jigsaw Activity (continued) Directions: Return to your Home Group. Refer to p. 8 in your handout and assign roles for your Home Group. Teach your section to your Home Group. Youll have 2.5 minutes to teach your section. Each group will report out the insights from their learning in 1 minute or less.

12 The Roles of the Data Coach Source: The Data Coachs Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

13 The Roles of the Data Coach The Data Coach is a: Role model of a data literate mindset Developer of Data Literacy skills in others Facilitator Leader for sustainability Source: The Data Coachs Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

14 Data Literacy The Four Phases of the Data-Driven Dialogue: 1.Predict 2.Go visual 3.Observe 4.Infer/Question Source: The Data Coachs Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

15 Consensogram Activity Directions: Review background information on Consensograms on p. 13 in your handout. Look at p. 14 and respond to each question on a small post it note (one note per question). Place your post it notes on the chart paper.

16 StudentKnow Do Deconstructing the Task A Looking at Student Work Protocol from Nancy Love Task: Draw a parallelogram. Explain in writing why the shape you drew is a parallelogram.

17 Facilitating: Coaches as Questioners How can my use of questions probe others thinking? How do I pose questions that promote reflection? What are some examples of Data Team Leader questions? How can these questions be adapted for use by Data Coaches?

18 Sustainability Collaborative inquiry Professional development Change theory School culture Vision Systems thinking Source: The Data Coachs Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

19 Essential Question 2 Closure: What are the Big Ideas related to what the research is that supports data coaching?

20 Reflecting on Coaching As an individual, review the quotes on p. 16 in your handout. Put an asterisk in front of the one or two that most intrigue you. Spend three minutes writing about why those quotes resonate for you and how they apply to coaching. Form a triad and use the Microlabs Protocol to discuss these quotes. See Activity Questions at the bottom of p. 17 in your handout.

21 Coaches Help Mine the Data Creating safe environments Accessing and organizing data Analyzing and interpreting Sustaining Professional Learning Communities

22 Text Rendering Protocol Read the instructions on Text Rendering Protocol p. 18 in handout Read through text on pp completely. Mark the sentence, phrase and word that hold particular significance for you. Re-read and reflect until everyone is finished reading. Work in groups of 6 to complete the Text Rendering Protocol.

23 Steps for Coaching Data Teams Build relationships Help teams request your services with an identified need or area of concern. Observation of Data Team Feedback Reflection

24 Action Planning for Data Coaches Review pp in your handout Work individually or with your school team to develop an Action Plan that you can implement with your Data Team/s. Share your Action Plan with a partner and get feedback and suggestions.

25 Resources Exploring Text-based resources: See Bibliography on p. 27 in your handout.

26 Essential Questions 1.What does an effective Data Coach need to know and be able to do? 2.What is the research that supports data coaching? 3.What tools can Data Coaches employ to help educators use data to inform curriculum, instruction and assessment?

27 Your Feedback Please take the time to complete the feedback form provided. Make sure you have signed the CALI sign- in sheet before you leave (if you have not done so already).


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