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

DATA ANALYSIS GRADE 5 SCIENCE SUMMER SYMPOSIUM. Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy and Keisha Kidd Curriculum Support Specialists. What Kind of Information can Data Provide us?. Data can… provide feedback on the past and

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

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  1. DATA ANALYSIS GRADE 5 SCIENCE SUMMER SYMPOSIUM 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 5 SCIENCE INTERIM ASSESSMENT RESULTS (2012-2013) Department of Mathematics and Science

  6. *Cut score for Gr 5 Winter IA= 53% satisfactory Quarterly Assessment Results K-52012-2013 QUARTER 1 RESULTS QUARTER 2 RESULTS Quarter 1 Results **Cut score for Gr 5 FALL IA= 51% satisfactory Department of Mathematics and Science

  7. 2012-2013 Interim Results Grade 5 Science 2013 Winter Interim Results by Question Group Department of Mathematics and Science

  8. Debriefing Protocol • Teacher’s debriefing protocol • Grade Level Debriefing Protocol

  9. Data Chats • Sample Data Chats form • Student Name and ID ____________________ • Math FCAT: Achiev. Level _____ DSS ______ • Reading FCAT: Achiev. Level _____ DSS _____ • Science Assessment data: • Baseline: _____ Monthly ____ Fall IA ______ • Winter IA _____ Post-Test ______ • Student Goals:_______________________ • Teacher Comment_________________ Department of Mathematics and Science

  10. 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) Department of Mathematics and Science

  11. Grade 5 Science Content Focus (FCAT 2.0 2013) • DOE Report on Gr. 5 Science Content Focus from 2013 FCAT 2.0 Department of Mathematics and Science

  12. FCAT 2.0 Content Focus Analysis

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

  14. 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

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

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

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

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

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

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

  21. 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

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