tracy unified school district leadership institute – “leading the transformation” breakout...
TRANSCRIPT
Tracy Unified School District
Leadership Institute – “Leading the Transformation”
Breakout SessionAuthentic Data Driven Decision
Making July/August 2014
Dr. Paul F. EzenConsultant
Data-Driven Leadership
• Standardizing expectations
• Standardizing tools and protocols
• Facilitating fast and accurate communication
• Enabling evaluation and accountability
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Data Strategies
• Analyze forces of change.• Identify student learning needs.• Set student learning goals.• Set school goals.
Data Strategies
• Analyze forces of change.• Identify student learning needs.• Set student learning goals.• Set school goals.• Analyze school practices.• Test hypotheses.• Quantify perceptions.
Successful Leadership Strategies
• What are some strategies you have put in place in your building or district to use data and get results?
• With your table group, create a graphic organizer to describe effective strategies.
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Gallery Walk
• Take a packet of sticky notes.
• Record strategies that you would like to use.
• Leave positive notes or comments.
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Strategies for Data-Driven Instruction
• Ask for and post public displays of data in schools.• Ask data-driven questions of leadership teams.• Ask students to quantify their learning progress.• Ask teachers to cite data indicating how they gauge
student learning.• Use charts and graphs to reduce data to useful
information by focusing on simple numbers, gap comparisons, and trends.
• Ask frequent questions to ensure data accuracy.
Transformational Leadership Framework
KN
OW
LED
GE
APPLICATION
A B
DCHigh
HighLow
Low
• Grades based on multiple kinds of assessments
• Peer review of student work• Individual progress
monitoring• Observations by instructional
coaches
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Setting SMART GoalsGoal:
SpecificWho, what, when, where, why?
MeasurableHow much? How often?
AttainableIs it realistic? Why?
RelevantIs it important? Why?
Time-basedHow long will it take?
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Data Pyramid
Summative State Assessments
Demographics and Perceptions
Benchmark Assessments
Formative Common Assessments
Formative Classroom Assessments
adapted from The Data Coach’s Guide to Improving Learning for All Students, p. 129
Less often
More often
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Purposes and Functions of the Building Data Team
(from Leaders Make It Happen! pp. 97–98)
To access and monitor student success, the quality of instruction, and the effectiveness of the team in order to improve instructional practice and performance
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BDT Processes1. Uses building data to develop a school
improvement plan that focuses on a limited number of strategies aligned with the district’s goals and strategies
2. Determines specific shared instructional strategies to implement schoolwide
3. Actively monitors the implementation and effectiveness of the shared instructional strategies (adult indicators) and their impact on student learning
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BDT Processes4. Actively monitors the teacher-based
Instructional Data Teams (IDTs) and their follow-through
5. Provides for and participates in professional development and provides additional learning supports to staff
6. Makes adjustments based on the data
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The Successful Data Coach
• Demonstrates leadership• Is committed to equity• Is a skilled collaborator• Knows how to run a meeting• Is willing to learn and take risks• Has a basic knowledge of data and
assessments• Is comfortable with computers
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Data Team Configurations
Teacher-leader groups
Grade-level representatives
School improvement committees
Content-area teams
Professional learning community teams
SOUNDS LIKE
DOES OR DELIVERS
LOOKS LIKE
Describing Results-Focused Teams
from Teacher Teams That Get Results, Kuzmich and Gregory (2007)
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Data Team AgendaDate: September 19
DT Members Present: John Stacy, Bill, Dave, Melissa, Juan, Jake, Kathy
A. Review progress of implementation of action items from previous meetings.
B. Review student data and/or data related to action plan to determine if plan and initiatives are working.
C. Discuss new plans and/or adjustments to current plans based on data review.
D. Review student intervention efforts and effects on student performance.
E. Review action decisions from this meeting and assign actions to report on for next meeting.
F. Review any additional items related to student achievement and progress.
Actions:
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Questions for Data Teams
1. Do we have the data we need?• What are we trying to measure?
• Did we measure what we need to monitor?
• Is the assessment a reasonable length?
• Should we revise any questions for a post-assessment?
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2. What do the data mean?• Do any responses stand out?
• What does a proficient response look like?
• Which questions had a high/low number of correct responses?
• Do the questions accurately test the targeted knowledge?
• What learning needs are evident?
Questions for Data Teams
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3. What should our goals be?• What do the data say about gaps in
achievement? (Do we have an equity problem in our school?)
• Are our goals specific, measurable, achievable, relevant, and timely (SMART)?
• What obstacles stand in the way of our reaching those student learning goals?
Questions for Data Teams
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Questions for Data Teams
4. What instructional strategies will we emphasize?• Do we need to model or teach these strategies?
• Does the classroom environment need to change in some way?
• Do teachers have access to the resources and materials that they need?
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Questions for Data Teams
5. How will we recognize success?• How can we tell that students are learning?
• What kind of formative assessment might teachers use to reveal on-target learning?
• How can we confirm that everyone is using the strategies as intended and described?
• How can we link learning to specific strategies?
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Making Data Public
What goal were we trying to meet with this change?
What data established the need for this change?
What data will prove that we succeeded?
Does this change match the values in our mission?
Minute Paper
1. What does your data team currently look like?
2. How does your team focus on teaching and learning?
3. What results is your team getting?