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?