Coaching Data Teams

DEVELOPED BYJANE COOK

LITERACY & TECHNOLOGY COACH, EASTCONN

jcook@eastconn.org &BETH MCCAFFERY

SCHOOL IMPROVEMENT COORDINATOR, LEARN

bmccaffery@learn.k12.ct.usRevised 11/10/09

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

Objectives for LearnersParticipants 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.

Essential Questions1. 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?

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.

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.

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 group’s 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 group’s 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?

What does the research say?

Characteristics of Effective Coaches

BeliefsTeaching expertiseCoaching skillsRelationship skillsContent expertiseLeadership skills

See page 7 in handout

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

Data Coaches Jigsaw ActivityDirections:

Count off by 4’s and get into your Expert Group by number.Read the following sections in the chapter on pp. 9-11 in your handout:– The 1’s will read the Introduction section. – The 2’s will read the Knowledge and Skills section. – The 3’s will read the Challenges section– The 4’s 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. You’ll have 2.5 minutes to teach your section.

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. You’ll have 2.5 minutes to teach your section. Each group will report out the insights from their learning in 1 minute or less.

The Roles of the Data Coach

Source: The Data Coach’s Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

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 Coach’s Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

Data Literacy

The Four Phases of the Data-Driven Dialogue:

1. Predict2. Go visual 3. Observe4. Infer/Question

Source: The Data Coach’s Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

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.

Student Know Know Know Know Know Do Do Do Do 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.

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?

Sustainability

Collaborative inquiry Professional development Change theory School culture Vision Systems thinking

Source: The Data Coach’s Guide to Improving Learning for All Students by Nancy Love, et al, Corwin Press, 2008

Essential Question 2 Closure:

What are the Big Ideas related to what the research is that supports data coaching?

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.

Coaches Help Mine the Data

Creating safe environments Accessing and organizing data Analyzing and interpreting Sustaining Professional Learning Communities

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

Action Planning for Data Coaches

Review pp. 25-26 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.

Resources

Exploring http://calicoaches.wikispaces.com Text-based resources: See Bibliography on p. 27 in your handout.

Essential Questions1. 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?

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