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Data maps: A guide for making building level decisions

Data maps: A guide for making building level decisions. Steve Achey Whitney Oakley Equity Alliance Forum 2010. Data Maps are. a key tool on the NIUSI Leadscape website designed as part of a comprehensive leadership toolbox for developing inclusive school culture

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Data maps: A guide for making building level decisions

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  1. Data maps: A guide for making building level decisions Steve Achey Whitney Oakley Equity Alliance Forum 2010

  2. Data Maps are... • a key tool on the NIUSI Leadscape website • designed as part of a comprehensive leadership toolbox for developing inclusive school culture • available to all Leadscape principals and school improvement teams

  3. Leadscape • a community of inclusive school principals • committed to developing, learning and sharing practices that support the success of ALL students • field testing a variety of tools to help busy principals create sustainable change in school culture and practice • represented in seven presentations at Equity Alliance Forum

  4. LeadscapePresentations atEquity Alliance

  5. The LeadscapeWebsite

  6. Website Tools Include • Blog* • School Improvement Plan • Wiki • Learning Carousel* • Events Calendar • Topical Briefs* • Spotlight • Professional Learning* • DATA MAPS!

  7. What is a data Map? A visual depiction of data that allows easier accessibility and organization

  8. Data Maps can... • help to identify individual, classroom, and building level trends • visually display trends in student achievement, discipline referrals, specialized services, and student body demographics • offer access to data from anywhere

  9. Using Data Maps • Individual Student Data • Classroom Data • School-Wide Data

  10. Individual Student Data • Compare various types of testing data longitudinally • Determine effectiveness of specialized services (e.g., EC, ELL, AIG, Speech) • Link historical data with achievement • Target students in lower quartile for Tier 1 RTI placement

  11. Individual student data What types of services might a student qualify for?

  12. Classroom Data • Determine teaching strengths and areas for growth based on performance data • Determine levels of success based on cluster groups • Strengthen teacher evaluations in terms of student achievement • Provide teachers with additional data beyond scores (e.g., growth)

  13. Classroom Data What percentage of this teacher’s class is currently at-risk academically?

  14. School-wide Data • Compare AYP subgroups • Predict proficiency and AYP targets • Create class rolls including intentional clustering • Inform planning for professional development • Allocate resources based on data

  15. School-wide Data what kind of professional development do 3rd grade teachers need?

  16. Using Data Maps PROJECT 2009-2010 SYLVAN ELEMENTARY ACADEMIC YEAR SCHOOL

  17. Data Maps Online www.niusileadscape.org

  18. Questions?

  19. Further information and applications are available here at the forum or online. Interested?

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