Data Driven Instruction & School

Report
Data Driven Instruction &
School-Based Inquiry
What we know to this point…
Three Big Ideas
• What does RTTT say about data and inquiry?
• What are the essential components of leading
data driven instruction (DDI)?
• What are some pitfalls to avoid when leading
data driven instruction?
What does RTTT say?
• Educators will work together in inquiry teams
within each school, communicate through the
instructional reporting system, diagnose
problems at all levels of the school and
examine and implement best practices to
solve them, and evaluate and share results
system-wide (p. 126, referring to statewide
data reporting system).
What does RTTT say?
• School-based inquiry teams analyze data for
target groups of students that share common
learning challenges (e.g., fifth grade ELL boys
in math), investigate the root causes and skill
gaps, use research-based instructional
strategies to address the weaknesses at the
skill level, and continually evaluate the
strategies being used (p. 51, footnote referring
to NYC model).
What does RTTT say?
• The design is a sustainable model driven by
data and evidence that emphasizes both
principal leadership and teacher cooperation.
It makes time for teachers to work actively
together—using the data, analyzing the
results, and making and evaluating
adjustments in their instruction as needed (p.
137-138, describing NYC model).
What does RTTT say?
• Each inquiry team will consist of teachers who
face common challenges in student
achievement (e.g., poor performance in 3rd
grade math) (p. 142).
What does RTTT say?
• All school districts and schools will be required
to participate in the instructional
improvement system. Each LEA will provide
90 minutes of weekly collaborative time for
teachers and leaders to participate in schoolbased inquiry teams. The Board of Regents
will consider this requirement in 2011, to
begin by October 2012… (p. 144).
School PD Recommendations
August – October 2011
• Defining Data Driven Instruction and School Based Inquiry so that
efforts can be focused on high leverage strategies
• Collaboratively & accurately diagnose school capacity for
implementing the Inquiry/ DDI model based on the DDI key drivers
• Build and/or identify high quality assessment tools to use in the
classroom
• Develop an implementation plan for data driven instruction that is
tailored to the specific needs of schools and/or districts
• Diagnose the quality of each school’s implementation of data driven
instruction against the key drivers
• Support the ongoing development of data driven cultures in teams
of teachers and school leadership teams
NYSED Document: Recommendations for School-Level Network Team PD
Common Core & Inquiry/ DDI, June 15, 2011
School PD Recommendations
October – May 2012
• Linking Instruction and follow‐up with analysis
and action planning
• Align instructional practices, assessments, and
analysis to the rigor of the Common Core
standards
• Support and/ or lead effective analysis meetings
with teachers that increase student learning
• Monitor Progress on Action Plans and determine
mid‐course corrections in each school
NYSED Document: Recommendations for School-Level Network Team PD
Common Core & Inquiry/ DDI, June 15, 2011
Driven by Data
• Paul Bambrick-Santoyo
• 4 Key Areas of Focus
• 5 Key Drivers per Area
• 8 Mistakes that Matter
NY State Public School ELA 4th Performance vs. FreeReduced Rates
100%
90%
80%
Pct. Proficient
70%
60%
50%
40%
30%
20%
10%
10%
20%
30%
40%
50%
60%
Pct. Free-Reduced Lunch
70%
80%
90%
100%
NY State Public School ELA 4th Performance vs. FreeReduced Rates
100%
90%
80%
Pct. Proficient
70%
60%
50%
40%
30%
20%
10%
10%
20%
30%
40%
50%
60%
Pct. Free-Reduced Lunch
70%
80%
90%
100%
NY State Public School ELA 4th Performance vs. FreeReduced Rates
100%
90%
80%
Pct. Proficient
70%
60%
50%
40%
30%
20%
10%
10%
20%
30%
40%
50%
60%
Pct. Free-Reduced Lunch
70%
80%
90%
100%
Data Driven Instruction
Assessment
Analysis
Data Driven Culture
Paul Bambrick_Santoyo, 2010
Action
Unpacking DDI
•
•
•
•
Assessment (3-5)
Analysis (37-40)
Action (70-72)
Culture (105-109)
Paul Bambrick_Santoyo, 2010
What essential understandings
are highlighted in your
section?
How does the story in your
section illustrate the key
drivers from the rubric?
Assessments
•
•
•
•
•
Common Interim Assessments
Transparent Starting Point
Aligned to State Tests and College Readiness
Aligned to Instructional Sequence
Re-Assessed
Paul Bambrick_Santoyo, 2010
Analysis
•
•
•
•
•
Immediate Turnaround
Data Reports
Teacher-Owned Analysis
Test-In-Hand Analysis
Deep Analysis
Paul Bambrick_Santoyo, 2010
Action
•
•
•
•
•
Planning
Implementation
Ongoing Assessment
Accountability
Engaged Students
Paul Bambrick_Santoyo, 2010
Data Driven Culture
•
•
•
•
•
Highly Active Leadership Team
Introductory Professional Development
Implementation Calendar
Ongoing Professional Development
Build by Borrowing
Paul Bambrick_Santoyo, 2010
8 Mistakes that Matter
•
•
•
•
•
•
•
•
Inferior Interim Assessments
Secretive Interim Assessments
Infrequent Assessments
Curriculum-Assessment Disconnect
Delayed Results
Separation of Teaching and Analysis
Ineffective Follow-Up
Not Making Time for Data
Paul Bambrick_Santoyo, 2010
Data Driven Instruction &
School-Based Inquiry
NYS Assessments
District Level Analysis
(1,000 ft. view)
NYS Assessments
Interim Assessments
Interim Assessments
School-Based Inquiry
Department
or Grade Level
Interim Assessments
Formative Assessments
Teacher
Assessment Cycle
Type of Assessment
Frequency of
Assessment
Usage
Pre-Assessment
Prior to instruction
Assess prior knowledge
and skills.
Formative Assessment
Daily or more
Ongoing assessment for
student learning.
Interim Assessment
4-6 times per year
Assess all skills and
knowledge to that point
in time.
Summative Assessment
Annually
Assess knowledge and
skills learned
throughout the course.
Recommended Resources
• Driven by Data: A Practical Guide to Improve
Instruction by Paul Bambrick-Santoyo, 2010
• Children First Intensive Inquiry Team
Handbook by NYC Department of Education, 2008
• The Data Coach’s Guide to Improving Learning
for All Students by Nancy Love, 2008
Data Driven Instruction &
School-Based Inquiry
More information to come on:
www.engageny.org
www.caboces.org/iss/rttt

similar documents