Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy and Keisha Kidd

1. DATA ANALYSIS GRADE 5 Elementary Science Leaders and Coaches Dialogue Session 1 Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy and Keisha Kidd Curriculum Support Specialists

2. What Kind of Information can Data Provide us? Data can… provide feedback on the past and provide a basis to begin planning for the future Department of Mathematics and Science

3. IMPORTANCE OF DATA • Facilitate a clear understanding of the gaps between where the school or class is and where it wants to be. • Show if school or class goals and objectives are being accomplished. • Predict and prevent failures. • Predict and ensure successes. • Establish foundation for Continuous School Improvement/SIP. • Data drives instruction, and professional development. Department of Mathematics and Science

4. Effective Use of Classroom Data Planning Teaching UsingResults Student Learning Assessing Source: Dr. Yuwadee Wongbundhit

5. DATA DISAGGREGATION • GRADE K-5 BASELINE AND PRETEST ASSESSMENT RESULTS (2013-2014) Department of Mathematics and Science

6. Science Pretest Results K-5 (MDCPS 2013)

7. Elementary Science Pretest Performance by Reporting Category (2013-2014)

8. DATA DISAGGREGATION • GRADE 5 SCIENCE BASELINE ASSESSMENT RESULTS (2013-2014) Department of Mathematics and Science

9. Grade 5 Baseline Assessment Results (District 2012-2014)

10. Comparison of Grade 5 Baseline Results 2012 and 2013

11. Comparison of Grade 5 Baseline Results 2012 and 2013

12. PROGRESS MONITORING TOOL

14. Assessment Department of Mathematics and Science • Interim Assessments (IA) for Grade 5 (All benchmarks will be assessed on Baseline, Fall and Winter assessments) • Quarterly Science Benchmark Assessments (QSBA) for Grades K- 4 will assess benchmarks covered in each quarter: Pretest/Post-test, Quarters 1, 2, 3, 4) • QSBA for K-4 will be administered at the end of each grading period. Available: First QSBA available October 21, 2013

15. Gr. 5 Science Interims Cut Scores • Grade 5 Science Interim cut scores are based on statistical regression analysis between students performance on Interim Assessment and scale scores on 2012 FCAT 2.0: • Fall IA satisfactory cut score: 51% or higher • Winter IA satisfactory cut score: 53% or higher • (Cut Scores) • Baseline Proficiency Level: 70% Department of Mathematics and Science

16. FCAT 2.0 Content Focus Analysis

17. FCAT 2.0 Content Focus Analysis cont’d……. Department of Mathematics and Science

18. FCAT 2.0 Content Focus Analysis cont’d… The Next Generation Sunshine State Standards (NGSSS) benchmarks and content foci assessed on the 2013 FCAT 2.0 assessment are not predictive of future FCAT 2.0 content. Content Focus Reports should not be used to make decisions about instruction at the individual student level Department of Mathematics and Science

19. Gr. 5 Science FCAT 2.0 • Scale Score for Each Achievement Level (140-260) Department of Mathematics and Science

20. Gr. 5 Science FCAT 2.0 • Grade 5 Science FCAT 2.0 Achievement Level Descriptions Department of Mathematics and Science

21. GRADE 5 SCIENCE WINTER 2013 INTERIM RESULTS

22. GRADE 5 SCIENCE FCAT RESULTS 2007-2011 DISTRICT LEVEL

23. Performance by Reporting Categories (Gr 5 Science FCAT) 2012-2013 (Retro)

24. Performance by achievement levels (Gr 5 Science FCAT 2012-13)

26. Grade 5 FCAT Science Comparative Results for MDCPS, State, Broward & Palm Beach (2012-2013)

27. Data Online Resources • Actionable Data by Dr. Yuwadee Wongbundhit http://osi.dadeschools.net/actiondata/ -School Performance Data, FCAT, Baseline and Interims http://oada.dadeschools.net http://curriculum.dadeschools.net