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Data Informed Decision-Making
Leadership RetreatAugust, 2009
Presented by:Heather Causey, Rebecca Evan,
Cheri Beth Fisher, and Sheree Shaw
Questions we hope to address:
• 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
In which area could your school
use strengtheni
ng?
Mining Data
Analyzing Data
Communicating DataUsing data for
school improvement
Survey:
• 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.
A – Strongly Agree B – Mostly Agree
C – Mostly Disagree D – Strongly Disagree
What data are available to us in Hanover?
What Principals Are Saying: Strengths in Data Driven Decision-
Making
• 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
Academic:
Behavioral:
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 - ElementaryStudent Led Conferences -
Secondary
Teacher Data Binders
PALS Quick Checks
Curriculum Based Measures (CBMs)
CBMs with handheld devices
ROS Data
How can YOU use ROS?
• 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 Decision-Making
• 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 data-driven decision making for your staff?
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