The data made me do it! Using data for continuous school improvement An over view of Data First for school leaders 8 traits of effective school boards 1. Commit to a vision of high expectations for students 2. Share beliefs about students’ abilities to learn 3. Are accountability driven, and focused on student outcomes 4. Have a collaborative relationship with staff and community 5. Are data savvy 6. Align and sustain resources to district goals 7. Lead as a united team with superintendent 8. Take part in team development and training SOURCE: Center for Public Education, 2011 2 The Key Work governance framework Data informs board actions aimed at improving student achievement National School Boards Association, www.nsba.org 3 Answer some questions about the data contained in this chart Reading Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 4 How did we do overall? Your Turn Which schools were strong? Which schools were weak? Which content area was strong? Which content area was weak? 5 First question: What is the target? Reading Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 6 Let’s make color work for us Made the target Missed the target 7 Which school made a target of 70? How did we do overall? Reading Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 8 What if the targets are different for each content area? Reading Mathematics Science Social Studies 70 60 40 50 Remember AYP (Adequate Yearly Progress) targets are often set separately for each content area 9 Targets: Reading – 70 Science – 40 Reading Math - 60 Social Studies - 50 Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 10 Targets: Reading – 70 Science – 40 Reading Math - 60 Social Studies - 50 Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 11 How does it work? Color Coding x 12 Targets: Reading – 70 Science – 40 Reading Math - 60 Social Studies - 50 Math Science Social Studies School A 70 68 51 62 School B 75 65 50 85 School C 68 68 45 45 School D 64 70 55 66 School E 86 81 70 75 School F 72 65 58 60 School G 55 60 30 40 13 Data Decision Making Cycle Baseline Resource Alignment Student Outcomes Programs and Practices 14 Student outcomes by themselves are a reporting system – not a data-driven decision making cycle. Baseline Resource Alignment Student Outcomes Programs and Practices 15 Decision making starts with where you are now. Last year’s outcomes become this year’s baseline. Baseline Resource Alignment Student Outcomes Programs and Practices 16 Choices made between baseline and outcomes are the heart of leadership. Baseline Resource Alignment Student Outcomes Programs and Practices Opportunity to Learn 17 Our bottom line is student achievement. These data define our success. Baseline Resource Alignment Student Outcomes Programs and Practices 18 Data first – act – monitor – repeat Accountability • Test scores • Graduation • Postsecondary • Funding • Staffing • Facilities Baseline Resource Alignment Student Outcomes Programs and Practices • Curriculum • Monitoring • Supports Continuous Improvement • Enrollment • Environment • Student outcomes 19 What questions could “baseline” data answer? • Enrollment • Environment • Performance Your Turn • Test scores • Graduation • Postsecondary • Funding • Staffing • Facilities Baseline Resource Alignment Student Outcomes Programs and Practices • Curriculum • Monitoring • Supports 20 Get your baseline Enrollment • How many students attend our schools? • What is the racial/ethnic make up? poverty level? • How many students have disabilities? are ELL? Environment • How large are our schools? • Is student discipline an issue? student attendance? Performance • How do our students score on state tests? • Are they graduating from high school? ready for college and workplace? 21 What questions could “resource” data answer? • Enrollment • Environment • Performance Your Turn • Test scores • Graduation • Postsecondary • Funding • Staffing • Facilities Baseline Resource Alignment Student Outcomes Programs and Practices • Curriculum • Monitoring • Supports 22 Align your resources Funding • What are our school district’s expenditures? • Is our school funding equitable? • How much of our funds are federal, state and local? Staffing • Are our teachers knowledgeable in the subject they teach? • How many teachers meet HQT? Which students do they teach? Facilities • What is our average class size? • Are classrooms & facilities up to date? 23 What questions could “programs & practices” answer? • Enrollment • Environment • Performance Your Turn • Test scores • Graduation • Postsecondary • Funding • Staffing • Facilities Baseline Resource Alignment Student Outcomes Programs and Practices • Curriculum • Monitoring • Supports 24 Examine programs & practices Curriculum • Do our students have access to rigorous high school courses? • What courses are required for graduation? Supports • What percent of our students are enrolled in in prekindergarten? • Do our students have access to technology? Monitoring • How is student progress monitored individually, by subgroup, by classroom and by school? • How do we know if our programs are working? 25 Instructional Programs and Practices Equal Opportunity to Learn Rigorous curriculum and research-based practices Continuous feedback Instructional interventions Teacher Quality Collaboration and Building Capacity 26 What questions could “student outcomes” answer? • Enrollment • Environment • Performance Your Turn • Test scores • Graduation • Postsecondary • Funding • Staffing • Facilities Baseline Resource Alignment Student Outcomes Programs and Practices • Curriculum • Monitoring • Supports 27 Assess outcomes Test scores • Are our students meeting state proficiency standards? • Are our schools making AYP? • Are our students ready for college as measured by SAT, ACT? Graduation • Are students graduating on time with a standard diploma? Postsecondary • Are our students enrolling in college? • Are our students successful in postsecondary careers, training and education? 28 What would a data-driven board do? Your district has a persistently low-achieving school. Your superintendent has data showing this school also has high teacher turnover and a high proportion of new teachers. She wants the board to approve an incentive plan to lure the district’s best teachers to this school. Parents in high-achieving schools protest. 29 The decision-making cycle Teacher quality and student achievement Accountability • State Tests • Local Measures • Qualifications • Distribution • Equity Baseline Resource Alignment Student Outcomes Programs and Practices • Monitoring • Working Conditions • HR Policies Continuous Improvement • Enrollment • Student outcomes 30 What would a data-driven board do? • Identify your need • Examine your teacher distribution data • Look at best practices in teacher recruitment & retention • Involve your teachers, engage your community 31 Student performance 100% Advanced Proficient Basic Below Basic 0% high needs district ave low needs 32 What would a data-driven board do? • Identify your need • Examine your teacher distribution data • Look at best practices in teacher recruitment & retention • Involve your teachers, engage your community 33 Assignment by teacher experience 100% >4 years 2-4 years 1 year 0% High Needs District Ave Low Needs 34 What would a data-driven board do? • Identify your need • Examine your teacher distribution data • Look at best practices in teacher recruitment & retention • Involve your teachers, engage your community 35 Recruitment & retention • Improve working conditions, eg., supportive leadership, strong induction programs for new teachers • Provide effective professional development • Use targeted financial incentives such as housing assistance to attract highly-qualified teachers. SOURCE: Center for Public Education, 2012 36 What would a data-driven board do? • Identify your need • Examine your teacher distribution data • Look at best practices in teacher recruitment & retention • Involve your teachers, engage your community 37 Determining Return on Investment (ROI) of particular policies and programs informs better decisions and helps school leaders explain potentially unpopular decisions to the community. here’s how it works … 38 Implementation score – Degree of Difficulty and Cost 1. High cost or great difficulty to implement 2. Significant cost or difficulty to implement 3. Moderate cost or difficulty to implement 4. Little or no cost or difficulty to implement 39 Results score – Degree of Impact or Change 1. Very little or no impact or opportunity for change 2. Some impact or opportunity for change 3. Strong impact or opportunity for change 4. Greatest impact or opportunity for change 40 High Impact 4 3 2 Low Impact 1 1 Key Work of School Boards, 2009 © Katheryn Gemberling 2 Difficult/High Cost 3 4 Easy/Low Cost 41 B U I L D I N G High Impact 4 T H E F O U N D AT I O N Retain but simplify or reduce cost Retain as is 3 2 Redesign or remove Eliminate Low Impact 1 1 Key Work of School Boards, 2009 © Katheryn Gemberling 2 Difficult/High Cost Implementation 3 4 Easy/Low Cost Implementation 42 The data made me do it! 43