1. 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. Demographics: Enrollment, Ethnicity Poverty, Teacher Turnover Rate Multiple Measures of Data

5. Demographics

6. 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. School YearIB Implementation Stage NYS ELA- Percents of students that scored a 4 Total Teacher Turn- over rate 2003/04 Initial planning phase and training 13%N/A 2004/05 Partial implementation of IB. Teachers begin to write planners in teams 17%N/A 2005/06 IB unofficially implemented in its entirety 4%11% 2006/07 IB authorization committee comes to authorize Buckman Heights 4%22% 2007/08 B.H. is an authorized IB school 4%14% 2008/09 B.H. is an authorized IB school 1%Not available Demographics

8. Multiple Measures of Data Demographics: Enrollment, Ethnicity Poverty, Teacher Turnover Rate Perceptions Perceptions of learning environment

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 Demographics: Enrollment, Ethnicity Poverty, Teacher Turnover Rate Perceptions Perceptions of learning environment Student Learning Standardized Tests

12. Student Learning

13. Multiple Measures of Data Demographics: Enrollment, Ethnicity Poverty, Teacher Turnover Rate Perceptions Perceptions of learning environment Student Learning Standardized Tests School Processes School Programs

14. School Processes School InitiativeDate ImplementedDate Ended Literacy Initiative (District) June 2008June 2009 Robust VocabularySeptember 2008September 2010 Comprehension ToolkitSeptember 2009September 2010 Fountas and Pinnell Benchmark Assessment (District) September 2009Still using

15. Comparison Report SchoolCountyEnrollment Highview SchoolRockland 339 Richard J Bailey Elementary SchoolWestchester 340 Buckman Heights School of InquiryMonroe 348 Rosemarie Ann Siragusa SchoolWestchester 387 Quest Elementary SchoolMonroe 415

16. 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 4 th 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 4 th grade initiative Implemented across classrooms Decoding Group 4 students special Ed. Teacher Advanced Word Study Group 18 students Classroom teacher #2 Decoding Group 6 students Reading Teacher Reading Mastery 30 students Classroom Teacher #4 Decoding Group 6 Students Classroom Teacher #1 Fluency Group 30 Students Classroom Teacher #3 4 classrooms 94 Students 6 Staff Members

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 Reconfigured Adjusted Modified

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 September Pre-Meeting Observation Reflection Meeting Coach/InviteeInvitee/Coach January Pre-Meeting Observation Reflection Meeting Coach/InviteeInvitee/Coach May Pre-Meeting Observation Reflection Meeting Coach/InviteeInvitee/Coach

25. Conclusion Making data driven decisions Students’ Success