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DATA MATTERS

DATA MATTERS. Leading for Continuous Improvement. Data. Brent McKee. bmckee@alcaweb.org (918) 629-9515. Data. Brent McKee. BS Education – Oral Roberts University MS School Administration – Northeastern State University Middle School P.E. & Computer's – Jenks Technology Director – Bixby

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DATA MATTERS

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  1. DATA MATTERS Leading for Continuous Improvement Data

  2. Brent McKee bmckee@alcaweb.org (918) 629-9515 Data

  3. Brent McKee • BS Education – Oral Roberts University • MS School Administration – Northeastern State University • Middle School P.E. & Computer's – Jenks • Technology Director – Bixby • High School Principal – Westville • Superintendent/Principal – Anderson Data

  4. Data Matters Questions? • What is the purpose of the school or district? What do you want to learn? • What do you expect students to know and be able to do by the time they leave school?(Standards) • What do you expect students to know and be able to do by the end of each year?(Benchmarks) Data

  5. Data Matters Questions? • How well will students be able to do what they want to do with the knowledge and skills they acquire by the time they leave school? (Performance) • Do you know why you are getting the results you get? Data

  6. Data Matters Questions? • What would your school and educational processes look like if your school were achieving its purpose, goals and expectations for student learning? • How do you want to use the data you will gather? Data

  7. Data Matters! • Why does it Matter? • What data are schools currently utilizing? • How are you using your data? Data

  8. Data Matters! Three Types of Data Used • Achievement • Demographic data • Perception data Data

  9. Data Matters! Achievement Data • OCCT/EOI’s • Benchmark Assessments • Ongoing Classroom Assessments Data

  10. Data Matters! Demographic Data • Ethnicity • Gender • Social Economic • IEP, ELL, 504, etc... Data

  11. Data Matters! Perception Data • Students • Teachers/Staff • Parents • School Board • Community Data

  12. Analyzing Data Achievement Data (Base) • Spreadsheet (Filters, Pivot Tables and Graphs) • Software (ALCA, Pearson, other “Canned” software) Data

  13. Analyzing Data Data

  14. Analyzing Data Data

  15. Analyzing Data Data

  16. Analyzing Data Data

  17. Analyzing Data Demographic Data • Enrollment, SIS, WAVE, Food and Nutrition, Census • Trend Analysis, Analyze Achievement Data by Group Data

  18. Analyzing Data Data

  19. Analyzing Data Data

  20. Analyzing Data Perception Data • Surveys, Advisory Councils, Focus Groups, Community Forum • Communication of data to shareholders Data

  21. Analyzing Data Data

  22. Analyzing Data Data

  23. Analyzing Data Data

  24. Utilizing Data Data

  25. Utilizing Data • Superintendents • Principals • Teachers • School Board • Community Data

  26. References AASA http://www.aasa.org/uploadedFiles/Policy_and_Advocacy/files/UsingDataToImproveSchools.pdf Learning Point http://www.learningpt.org/pdfs/datause/guidebook.pdf Data

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