Experiential Training & Coaching Ltd Designing Winning Teams.
Coaching Data Teams
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Transcript of Coaching Data Teams
Coaching Data Teams
DEVELOPED BYJANE COOK
LITERACY & TECHNOLOGY COACH, EASTCONN
[email protected] &BETH MCCAFFERY
SCHOOL IMPROVEMENT COORDINATOR, LEARN
[email protected] 10/14/10
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 provide opportunities to apply coaching practices
Objectives for LearnersParticipants will:
Examine the research on coaching that supports DDDM. Identify the roles and responsibilities of a coach and effective models for coaching.Observe and apply coaching behaviors that influence best practices and result in high student achievement.
Connecticut Accountability for Learning Initiative (CALI)
SRBI Framework for Student Achievement
Inst
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Assessment
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Essential Questions1. What does the research say an
effective Data Coach needs to know and be able to do?
2. What tools can Data Coaches employ to help educators use data to inform curriculum, instruction and assessment?
Norms for Collaboration1. Pausing 2. Paraphrasing3. Probing for specificity4. Putting ideas on the table and pulling
them off5. Paying attention to self and others6. Presuming positive intentions7. Pursuing a balance between advocacy
and inquirySource: Center for Adaptive Schools, http://csi.boisestate.edu/Improvement/7%20Norms.pdf These norms have been updated in The Data Coach’s Guide to Improving Learning for All Students by Nancy Love, 2008
Tools for Coaching Data Teams:Affinity DataSpatial and interactiveAllow for quick and easy data collectionEnsures that everyone’s ideas are heardGives all ideas equal weightEncourages looking from other people’s perspectivesHelps group to identify natural connections among ideas
Affinity Diagram: Characteristics of an effective Data CoachDirections (See pp. 3-5 in your
handout): Individually write 5 characteristics that an effective coach should possess on the post it notes provided.
Affinity Diagram: Characteristics of an effective Data Coach (continued)Directions (See pp. 3-5 in your
handout): At your table, share your responses and eliminate any that are exact duplicates.Have one member of your group place your group’s large post it note responses on the chart paper posted around the room.
Affinity Diagram: Characteristics of an effective Data Coach (continued)Directions (See pp. 3-5 in your handout):
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. Reflect and Write: Using the modified T-chart on p. 5 in the handout, list Characteristics of Affinity Diagrams and respond to the following questions:– How can I use Affinity Diagrams?– When can I use Affinity Diagrams?
Reflect and Write
Consider the most important characteristics of Affinity Diagrams. List them on your T-chart on p. 5.Reflect and Write: Respond to the following questions on your T-chart on p. 5:– How can I use Affinity Diagrams? – When can I use an Affinity Diagram in
my work as a Data Coach?
Tools for Coaching Data Teams:JigsawCooperative learning strategy with a 30 year track record that serves as a catalyst for discourseTime effective strategy which allows all to the learn the content by splitting up the work (Many hands make light work)Participants become experts on one piece of the content and share their expertise with a home groupEach person is a critical member in the learning
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. 8-10 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.
What does the research say?Characteristics of Effective Coaches
According to NSDC
BeliefsTeaching expertiseCoaching skillsRelationship skillsContent expertiseLeadership skills
See page 7 in handout
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
What does the research say?
The Roles of the Data Coach According to Nancy Love, et al
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
What are the Big Ideas related to Essential Question 1 -What does the research say an effective Data Coach needs to know and be able to do?
Essential Question 1 Closure
Reflect and Write
Consider the knowledge, skills, roles and responsibilities that coaches have. Reflect and write – At least one aspect of the work of
coaches in the left-hand column – What you need or want to work on
related to this aspect of your coaching work
Building 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
Tools for Coaching Data Teams:ConsensogramDirections:
Review background information on Consensograms on p. 14 in your handout. Look at p. 15 and respond to each question on a small post it note (one note per question). Place your post it notes on the chart paper.
Tools for Coaching Data Teams:Task Deconstruction ProtocolShare task (assessment item) with teachers.
Direct teachers to complete the task.Brainstorm with teachers the concepts and skills students must know and be able to do in order to successfully / accurately complete the task.Complete the task deconstruction matrix.Examine student work for evidence of knowledge and skills in the work presented.Identify patterns or areas of concern presented in the data resulting from analysis of student work.
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?
Multiple Measures of Data
Area of FocusArea of Focus Stages of Stages of ConcernConcern
Expressions of ConcernExpressions of Concern
Stage 6: Stage 6: RefocusingRefocusing
I have some ideas about something I have some ideas about something that would work even better.that would work even better.
Stage 5: Stage 5: CollaborationCollaboration
I am concerned about relating what I I am concerned about relating what I am doing with what my co-workers am doing with what my co-workers are doing.are doing.
Stage 4: Stage 4: ConsequenceConsequence
How is my use affecting clients?How is my use affecting clients?
Stage 3: Stage 3: ManagementManagement
I seem to be spending all of my time I seem to be spending all of my time getting materials ready.getting materials ready.
Stage 2: Stage 2: PersonalPersonal
How will using it affect me?How will using it affect me?
Stage 1: Stage 1: InformationalInformational
I would like to know more about it.I would like to know more about it.
Stage 0: Stage 0: AwarenessAwareness
I am not concerned about it.I am not concerned about it.
IMPA
CT
TASK
SEL
F
Tools for Coaching Data Teams: Concerns-Based Adoption Model
Source: Taking Charge of Change by Shirley M. Hord, William L. Rutherford, Leslie Huling-Austin, and Gene E. Hall, 1987
Mentoring & Coaching Support: The Bridge to AdoptionThe left side of the bridge focuses on Self concerns which are addressed through training.Mentoring and coaching support in a positive, safe environment address the Task concerns.Only then can people cross the bridge to focus on Impact concerns and fully implement the Adoption of the change.
Source: Barry Sweeney, International Mentoring Associationhttp://www.mentoring-association.org/membersonly/CBAM.html
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
Data Coach Scenarios
Scenario AScenario BScenario CScenario D
Tools for Coaching Data Teams: Collaborative Assessment Looking at Student Work Protocol1. Getting Started2. Describing the Work3. Asking Questions About the Work4. Speculating About What the Student Is
Working On5. Hearing from the Presenting Teacher6. Discussing Implications for Teaching and
Learning7. Reflecting on the Collaborative Assessment
Conference8. Thanks to the Presenting Teacher
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
Technology Tools & Resources to Support Coaching Data Teams
Exploring http://calicoaches.wikispaces.com and other Web-based resourcesExcel Templates– NSDC Coach Interaction Spreadsheet– CBAM Spreadsheet – Stoplight Highlighting of CMT or CAPT Data
Text-based resources - Bibliography on p. 48 in your handout
Essential Question 2 Closure:
What tools can Data Coaches employ to help educators use data to inform curriculum, instruction and assessment?
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