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Elementary Group

Elementary Group. Lisa Farina, Daniel Fontanez, Andrew Grantham, Suzanne Maxim, Daniel McAlpin, Amy McGinn, Jamie Naple, James Tiffin, and Sean VanHatten. Importance of Data and Data Analysis. Data is defined as facts or pieces of information which can be qualitative or quantitative in nature.

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Elementary Group

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  1. Elementary Group Lisa Farina, Daniel Fontanez, Andrew Grantham, Suzanne Maxim, Daniel McAlpin, Amy McGinn, Jamie Naple, James Tiffin, and Sean VanHatten

  2. Importance of Data and Data Analysis • Data is defined as facts or pieces of information which can be qualitative or quantitative in nature. • Bernhard (2004) indicates the importance of obtaining, utilizing, and analyzing multiple measures of data as guidance in implementing changes towards school improvement.

  3. Overview • Greece Central School District is in good standing • Specific subgroups within Greece Central School District in need of improvement (not meeting Adequate Yearly Progress) • Buckman Heights made AYP for 2008-2009 school year • Only 1% received a Level 4 on the New York State English Language Arts test during the 2008-2009 school year

  4. Multiple Measures of Data

  5. Demographics

  6. Demographics • Buckman Heights (grades 3-5) is one of thirteen elementary buildings with 348 students • Title 1 funding with 43% of students eligible for free or reduced priced lunch • Teacher turnover rate • International Bacchorelaute Primary Years Programme (PYP) implemented in February, 2007 • Implementing Positive Interventions and Supports (PBIS)

  7. Demographics

  8. Multiple Measures of Data

  9. Perceptions • Changes at Buckman Heights over the past five years • Implementing IB • Fountas and Pinnell Benchmark system for reading • Benchmarks and Common Formative Assessment (CFA) • Professional Learning Communities (PLC) • Implementation of SMART Goals • Two new building leaders and staffing changes • Survey conducted • Lack of instructional leadership • IB concerns • Not meeting the needs of high performing students • Lack of vertical grade alignment • Housekeeping needs

  10. Candidate Learning • Review of data indicates AYP is met but Buckman Heights is failing to address instruction for students at an ELA level three • Teacher turnover rate since IB has been in place may have contributed to the decline in ELA scores • Perception data indicated the IB program is not meeting the needs of all students

  11. Multiple Measures of Data

  12. Student Learning

  13. Multiple Measures of Data

  14. School Processes

  15. Comparison Report

  16. Comparison Report

  17. Comparison Report

  18. School Improvement Plan • District Goal • Improve student achievement in English Language Arts • School Goal • By the end of the 2011-2012 school year, the percentage of students scoring a 4 on the New York State 4th Grade ELA will be 5%

  19. Walk to Excellence Are the current school processes and instructional practices preparing our students for success? Nationally only 5% of our students are college ready. What does that say about our educational systems?

  20. Walk to Excellence • Increase Academic Achievement • 4th grade initiative • Implemented across classrooms

  21. Walk to Excellence • Data driven –Benchmark assessments • Fountas and Pinnell Benchmark Assessment • Dibbles • Running Reading Records • Common Formative Assessments • Consistently monitored • PLC (Professional Learning Communities) • Instruction provided within small homogenous groups • 30 minutes daily • Uninterrupted

  22. Peer Coaching High Teacher Mobility Decrease in Students Ascertaining a 4 on the ELA Peer coaching allows educators to: • Consult with one another • Discuss and share teaching practices • Observe one another's classrooms • Promote collegiality and support • Help ensure quality teaching for all students

  23. Peer Coaching Teacher Leaders/ Instructional Coaches • Budget Friendly  • Utilizes Current Staff • Non-Evaluative Coaching/Observations • Empowers Current Teaching Staff • Foundation for Success • Increases Staff Accountability

  24. Peer Coaching

  25. Conclusion Making data driven decisions Students’ Success

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