what are instructional data teams?
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What are Instructional Data Teams? a small grade-level, department, course-alike, or
organizational team (joined together through the use of a common formative assessment)
an on-going process in which educators work collaboratively in recurring cycles to achieve better results for students
examines work generated from a common formative assessment to improve individual practice, build capacity, and intervene on behalf of students
How can we be sure each student has
access to the same knowledge and skills regardless of who is
teaching the standard/benchmark?
MEETING 1
First meeting of the year Only occurs one time Establish norms Explain Data Teams process and
rationale Team decides which data initially to
examine or focus on
The Data Team Process
Adapted from: The Leadership and Learning CenterUnpack priority standards and have
common understanding
Develop curriculum map or pacing guide
Develop common formative pre- and post-
assessment
Administer PRE-assessment
Step1: Collect
and chart data
Step 2: Analyze data to
prioritize needs
Step 3: Create SMART
goals/target
Step 4: Select
common instructional
strategies
Step 5: Determine
results indicators
Step 6: Monitor & evaluate results
Teach students common strategiesAdminister POST-assessment
Unpack priority standards and have
common understanding
Develop curriculum map or pacing guide
MEETING 2
What are we attempting to measure/monitor? Does our assessment measure the skills and/or concepts that
we need to monitor? What is a sample of a proficient response?
Do we know what we consider proficient? Do we agree on what proficiency looks like?
Do we have a common understanding of the rubric/scoring?
Identify date to administer pre-assessment and determine when the results are due to team leader.
MEETING 2Develop common
formative pre- and post-assessment
Administer PRE-Assessment
Step1: Collect
and chart data
MEETING 3
MEETING 3Step 2: Analyze data
to prioritize needs
* What are the critical areas of concern as evidenced in the student work?
* This step goes beyond labeling students and should lead to inferences about student performance.
Meeting 3
Specific Measurable Achievable Relevant Timely
Step 3: Create SMART goals/target
Meeting 3Step 4: Select
common instructio
nal strategies
• Which strategies will have the greatest impact on student learning based on the needs identified in Step 2?
• What strategies are individual teachers implementing with a highdegree of success and should be replicated?
• How will teachers implement the strategies? • At least one research-based effective instructional strategy must be
agreed upon and immediately implemented to enhance studentlearning.
Meeting 3
Results indicators state the evidence that the agreed upon strategies are being implemented effectively.
“It isn’t the method that determines whether the assessment is summative or formative, it is how the results are used.” Solution Tree
Step 5: Determine results indicator
s
Meeting MStep 6:
Monitor &
evaluate
results
Meeting M Are we on track to reach our goal? If students will not be able to achieve the goal,
analyze why and determine best next steps. Are the agreed upon strategies having the
desired impact on student learning? Do all members know how to implement the
chosen strategies/actions correctly & effectively? Any enhancements or a-has during the use of the
strategies? Are students increasing their level of proficiency?
Meeting 4
• Post-assessment data is submitted to the team leader for graphing before this meeting.
• The main questions focus on whether students improved and the degree of the improvement.
• Are there still some students who now should receive intervention?
Administer POST-assessment
How can we be sure each student has
access to the same knowledge and skills regardless of who is
teaching the standard/benchmark?
Resources Peery, Angela (2011). The Data Teams Experience
A Guide for Effective Meetings. Englewood, CO. The Leadership and Learning Center.
DuFour, R & R. (2011, Dec. 12). New Insights on How Effective PLCs at Work Improve Schools. Solution Tree.com
Besser, L., Anderson-Davis, D., Peery, Angela (2008). Data Teams. Englewood, CO. The Leadership and Learning Center.
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