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Connecting Data Dots Using data-based decision making for continuous school improvement

Connecting Data Dots Using data-based decision making for continuous school improvement. Semonti Basu PBS Technical Assistance Facilitator Grace Martino-Brewster PBS Specialist Austin Independent School District. Why Worry About the Data?.

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Connecting Data Dots Using data-based decision making for continuous school improvement

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  1. Connecting Data Dots Using data-based decision making for continuous school improvement SemontiBasu PBS Technical Assistance Facilitator Grace Martino-Brewster PBS Specialist Austin Independent School District

  2. Why Worry About the Data? Without continual growth and progress, such words as improvement, achievement, and success have no meaning. Benjamin Franklin • When thinking about academics, we ask ourselves… • What is it we want our students to know and to do? • How will we know when they have learned it? • What will we do when some of them have not learned it? • What would happen if we asked the same questions and utilized similar data to think about student behavior?

  3. PLAN IMPROVE IMPLEMENT EVALUATE Random Acts of Improvement Too often, schools find themselves in this cycle – working hard with little result.

  4. PLAN Guiding Principles Vision Mission Purpose Values & Beliefs Standards IMPROVE IMPLEMENT EVALUATE Focused Improvement Using data can focus the school’s improvement efforts so everyone is working together for maximum results.

  5. What does this mean for a PBS Campus? • The PBS Process relies on a culture of data-driven decision making – objective information about behavior is more reliable than labels, conclusions, and stereotypes. • The campus PBS team must learn to utilize all the data available to make the best possible decisions for school improvement.

  6. What is Data-Driven Decision Making?

  7. Data- Driven decision making using a single data source How to Analyze Discipline Data

  8. Step 1: Gather Datadifferent ways of looking at discipline data? Who, What, Where and Why • Who • Referrals by Student Group (Ethnicity, Grade level) • What • Referrals by Offense Type • Where • Referrals by Location • Why • Referrals by Behavior Function

  9. Step 2: Review DataWhat are the different questions to ask? Referrals by Location

  10. Step 3: Analyze DataWhat are some trends to consider ? • From what location on campus are the greatest number of referrals generated? • What school-wide patterns and trends does the Location data reveal?

  11. Step 4: Make ConnectionsHow to put data into action? • If greater than 40% of referrals originate from the classroom what types of school-wide initiatives for classroom management may be appropriate to consider? (e.g. classroom coaching, scaffolding classroom management) • What types of interventions may be appropriate for common areas which generate high numbers of referrals? (e.g. active supervision training)

  12. Data- Driven decision making using multiple data sources How to Incorporate Other Data into Your Improvement Plan

  13. Step 1: Gather DataWhat types of data?

  14. Step 1: Gather DataWhere to get data? • Demographics • District Data Systems • Perceptions • Campus surveys- students, staff, parents/community • PBS Specific • PBS tools – Common Area Observation, Classroom Observation, PBS Benchmark Tool, Campus Assessment and Planning Tool • Student Learning • District Data Systems, AEIS reports, TEA ratings

  15. Step 2: Review Data Questions to Ask Tells Us: If groups of students are “experiencing” school differently. Tells Us: What student subgroups participate in different programs and processes Tells Us: If students are achieving learning goals Tells Us: How PBS processes are working on a campus

  16. Step 3: Analyze Data What trends are occurring Do certain groups of students experience school differently? Do effective PBS systems lead to a safe and productive learning environment for students and staff? Are discipline referrals more in certain student subgroups? Is student learning affected by school climate? Do effective PBS systems lead to better student learning outcomes?

  17. Step 4: Make ConnectionsHow to Put Data into Action • Identify a PBS goal based on data results • Define and develop action steps to meet the goal

  18. Step 5: Evaluate Outcomes For Discipline Data For District Data Are interventions addressing data trends successful? Have interventions led to fewer discipline referrals? How have PBS interventions affected school climate and student achievement What impact does PBS have on dropout rates?

  19. Data based decision making using PBS tools Introduction to AISD PBS Tools

  20. Observation Tools • What it does • Structured information gathering to inform implementation • Why it is useful • Provides a tool for identifying needs in specific PBS systems • Ensure consistent data collection

  21. Common Area Observation Who: Campus team members /External coach When: During school hours How often: Fall and Spring Tier note: School-wide

  22. Classroom Area Observation Who: Campus team members /External coach When: During class periods How often: Fall and Spring Tier note: Classroom

  23. Student Behavior Observation Who: External Coach When: Before developing a student intervention plan How often: As needed Tier note: Intensive Date:_______________ Location:___________________Activity/Task:_____________________ During a _______ minute observation period, record the student’s behaviors and responses to it. Use additional paper for anecdotal notes if needed.

  24. CAPT and Benchmark • What it does • CAPT -Provides status of campus activities • Benchmark – Provides quality of campus activities • Why it is useful • Evidence of fidelity provided • Multiple perspectives incorporated

  25. Campus Assessment and Planning Tool Who: Campus team members When: At every team meeting How often: As needed Tier note: items address all three levels of intervention

  26. Benchmark Tool Who: completed by district coaches When: after the CAPT-activities status is completed How often: Every three months Tier note: items address all three levels of intervention

  27. Continuous Improvement Using PBS Tools

  28. Campus Implementation Report What it Does? • Graph summarizes implementation level by area • Table summarizes priorities identified by the campus Why is it useful? • Provides a campus snapshot for implementation • Provides feedback on whether campus teams are identifying needs based on implementation data

  29. Campus Implementation Report Who: completed by district coaches When: after the CAPT-activities status is completed How often: Every three months Tier note: address all three levels of intervention

  30. Things to Remember… PBS is a strength-based model that emphasizes a proactive and positive approach to developing a safe, civil, and productive school. . • Data Graphics taken from… • Bernhardt, Victoria, PhD., Data Analysis for Continuous School Improvement • Also for your consideration… • http://www.centerforcsri.org/pubs/pg/sbr.htm • http://www.rand.org/pubs/occasional_papers/2006/RAND_OP170.pdf

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