Transcript Data Informed Decision

Data Informed DecisionMaking
Leadership Retreat
August, 2009
Presented by:
Heather Causey, Rebecca Evan, Cheri Beth Fisher, and
Sheree Shaw
Questions we hope to address:
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What is data driven decision-making?
What data are available to us?
What are Hanover schools doing with data?
What tools are available to assist me with data analysis?
How do we use these tools?
How can we promote discussions about data?
What can I take back to use in my school?
“Without data, all anyone has are opinions. Data
elevates the probability that you’ll make the right
decision.”
-W. Edwards Deming
Data driven decision-making is a process
that involves:
1. Mining (collecting and managing) the data
2. Analyzing data to create knowledge
3. Communicating data to support
organizational learning
4. Using the data to inform school improvement
planning
Analyzing Data
Mining Data
In which area could
your school use
strengthening?
Communicating Data
Using data for
school improvement
Survey:
A – Strongly Agree
B – Mostly Agree
C – Mostly Disagree
D – Strongly Disagree
• My staff is comfortable collecting data.
• My staff is comfortable talking about data with their teams.
• My staff members can manipulate their own students’ data.
• My staff uses data to make daily instructional decisions.
• I am satisfied with data-driven decision making at my school.
What data are available to us in Hanover?
What Principals Are Saying:
Strengths in Data Driven Decision-Making
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Gathering data
Analyzing benchmark data using ROS Works
Having conversations about data with teams or faculties
Grouping based on reading assessment data
Sharing data with all teachers who instruct that student
Setting goals/targets based on SOL test data
What Principals Are Saying: Weaknesses/Challenges
in Data Driven Decision-Making
• Finding time to review data and reflect on what it means
• Understanding the significance of data analysis as a
diagnostic tool to assist students rather than a personal
reflection on teachers
• Having teachers see the big picture rather than simply focus
on “their” students
What Principals Are Saying: Weaknesses/Challenges
in Data Driven Decision-Making
• Knowing what to do after the analysis--determining what intervention
to use/how to remediate when weaknesses are apparent in the data
• Knowing what data to collect and analyze for grade levels without
benchmark assessments
• Determining if benchmark assessment data is a reliable indicator of
SOL test performance
Partner Talk
How does your school currently collect,
analyze, and use data to make
instructional decisions?
What’s
HOT
in
Hanover?
Student Response Systems
Math Pre- and Post- Tests
TfHS
IEP Goal Data
Behavioral:
Academic:
Data Boards
Electronic
Data
Board
example
Involving Resource Teachers
Grade levels can put
strands of weaknesses on
a Blackboard Discussion
Board and anyone can
add integration ideas to it.
Student Data Folders - Elementary
Student Led Conferences - Secondary
Teacher Data Binders
PALS Quick Checks
Curriculum Based Measures (CBMs)
CBMs with handheld devices
ROS Data
How can YOU use ROS?
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Item analysis by student, class, or grade level
Grade level classroom comparisons by standard/strand
Student remediation grouping by weak strand performance
Subgroup reports (by counts or percentages)
Classroom assessments and keys added online
Business
Objects Core
Reports
Case Studies
• Elementary Reading
• Secondary Math
Guiding Questions
for Case Study Analysis
• Which strands have students mastered with at least 80%
proficiency?
• Which strands require continued remediation?
• How does individual class performance compare?
• What next steps would you take as the school leader? teacher?
What do you see?
Ideas for Engaging Staff in Data Driven DecisionMaking
• Define top 10 common data analysis terms individually, then as a group
to reach consensus
• Give teachers access to ROS Works
• Offer professional development on data analysis tools
• Build common planning and remediation blocks into the master
schedule
• Structure conversations--develop guiding questions for data discussions
to be used by teams
• Develop common teacher data binders
Mini Break Out Sessions
• Practice with ROS Works
• Practice with electronic data boards
• Practice with student response systems
What’s next?
• What AHA moments did you have in this
session?
• What new ideas would like to take back
and implement with your staff?
• What training is needed to help with datadriven decision making for your staff?