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Data Informed Decision-Making

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Presentation on theme: "Data Informed Decision-Making"— Presentation transcript:

1 Data Informed Decision-Making
Leadership Retreat August, 2009 Presented by: Heather Causey, Rebecca Evan, Cheri Beth Fisher, and Sheree Shaw CBF

2 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? CBF

3 “Without data, all anyone has are opinions
“Without data, all anyone has are opinions. Data elevates the probability that you’ll make the right decision.” CBF- Highlight important parts- talk to neighbor -W. Edwards Deming

4 Data driven decision-making is a process that involves:
CBF

5 1. Mining (collecting and managing) the data
CBF

6 2. Analyzing data to create knowledge
CBF

7 3. Communicating data to support organizational learning
CBF

8 4. Using the data to inform school improvement planning
CBF

9 In which area could your school use strengthening?
Analyzing Data In which area could your school use strengthening? Mining Data CBF- Four corners activity Using data for school improvement Communicating Data

10 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. RE- Add transitions; use CPS? -DONE

11 What data are available to us in Hanover?
CBF- separate question and responses; add slide with results in Wordle – I NEED ACCESS TO QUIA SURVEY RESULTS!

12 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 CBF

13 Finding time to review data and reflect on what it means
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 CBF

14 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 CBF

15 Partner Talk How does your school currently collect, analyze, and use data to make instructional decisions? CBF

16 What’s HOT RE in Hanover?

17 Student Response Systems
RE- Find actual pics or from eInstruction-DONE

18 Math Pre- and Post- Tests
RE- Add image/Blackboard/ talk about grade book/CPS- TfHS

19 IEP Goal Data Behavioral: Academic:
CBF/RE Add LMES progress report example (Sarah Bazemore send to me in an ) - DONE

20 Data Boards Electronic Data Board example
CBF- Add photo and Inspiration example

21 Involving Resource Teachers
Grade levels can put strands of weaknesses on a Blackboard Discussion Board and anyone can add integration ideas to it. CBF- Think up and Add clever way to share information between classroom teachers and resource teachers so resource teachers can integrate areas of weakness into curriculum. – GRADE LEVELS CAN PUT STRANDS OF WEAKNESS ON A BB DISCUSSION BOARD AND ANYONE CAN ADD INTEGRATION IDEAS TO IT.

22 Student Data Folders - Elementary Student Led Conferences - Secondary
CBF- Add secondary pict (student-led conferences) - DONE

23 Teacher Data Binders CBF- Add secondary in place of this; pict/info from OKMS or CMS – ASK HEATHER

24 PALS Quick Checks CBF Find login (Hilary?) to add screenshot or image

25 Curriculum Based Measures (CBMs)
CBF

26 CBMs with handheld devices
CBF

27 Break!!

28 ROS Data HRC- add image

29 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 HRC

30 Business Objects Core Reports
Sheree  I NEED TO ADD THE UPDATED VERSION OF SHEREE’S REPORT

31 Case Studies Elementary Reading Secondary Math SGS

32 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? SGS- get groups to analyze their data and come back and discuss.

33 What do you see? Talk about how people see data differently/importance of discussion

34 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 CBF

35 Mini Break Out Sessions
Practice with ROS Works Practice with electronic data boards Practice with student response systems Heather, Cheri Beth, Rebecca

36 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? Sheree- have thoughts ready to discuss at 3:10


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