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Coaching Data Teams

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Coaching Data Teams JANE COOK LITERACY & TECHNOLOGY COACH, EASTCONN BETH MCCAFFERY SCHOOL IMPROVEMENT COORDINATOR, LEARN Purpose of Training To highlight ... – PowerPoint PPT presentation

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Title: Coaching Data Teams


1
Coaching Data Teams
  • JANE COOK
  • LITERACY TECHNOLOGY COACH, EASTCONN
  • BETH MCCAFFERY
  • SCHOOL IMPROVEMENT COORDINATOR, LEARN

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
    DDDM.
  • Identify the roles and responsibilities of a
    coach and effective models for coaching.
  • Apply coaching behaviors that influence best
    practices.

4
Essential Questions
  • Why are Data Coaches needed?
  • What is the theory behind data coaching?
  • What is an effective Data Coach?
  • What do effective Data Coaches do?
  • 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 another person.

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 sentence strips.

7
What are the characteristics of an effective
Data Coach? (continued)
  • Directions (See pp. 3-6 in your handout)
  • Place sentence strip responses on chart paper
    posted around the room and build an Affinity
    Diagram.
  • Summarize the results gathered by the coaches.
  • Debrief the activity.

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
The Roles of the Data Coach
  • The Data Coach
  • 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

10
Data Literacy
  • The Four Phases of the Data-Driven Dialogue
  • Predict
  • Go visual
  • Observe
  • Infer/Question
  • Source The Data Coachs Guide to Improving
    Learning for All Students by Nancy Love, et al

11
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?

12
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

13
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.

14
Coaches Help Mine the Data
  • Creating safe environments
  • Accessing and organizing data
  • Analyzing and interpreting
  • Sustaining Professional Learning Communities

15
Text Rendering Protocol
  • Read through the text completely.
  • Mark the sentence or phrase that holds
    particular significance for you.
  • Re-read and reflect until everyone is finished
    reading.

16
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

17
Resources
  • Exploring http//calicoaches.wikispaces.com
  • Text-based resources See bibliography on p.
    26 in your handout

18
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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