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Keeping the Focus on Student Success

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  1. Keeping the Focus on Student Success A systematic approach to creating a platform for engaging focused data talks

  2. Lee Courville Director of Elementary Academic Programs Eric Penrod Director of Secondary Academic Programs Dr. Janice Mauldin Assistant Superintendent of Academic Programs

  3. Prominent educational researchers have long decried education as a field in which practitioners make decisions based on intuition, gut instinct, or fads (Slavin, 2002)

  4. Successful districts in the current era of standards, standardized testing, and demands for evidence of the quality of performance, invest considerable human, financial and technical resources in developing their capacity to assess the performance of students, teachers, and schools, and to utilize these assessments to inform decision making about needs and strategies for improvement, and progress toward goals at the classroom, school, and district levels. --Anderson

  5. What are focused data talks? What are the elements of a systematic approach for focused data talks? How do we engage in focused data talks?

  6. TEACHER LEADERS

  7. Within every school there is a sleeping giant of teacher leadership, which can be a strong catalyst for making change. (Katzenmeyer and Moller, 2001)

  8. What speaks to you?

  9. Choose one of the following quotes based on your strongest reaction after reading it • Think about why the quote evoked the strongest reaction • Be prepared to share out with the group

  10. We have to transform the way we think about data from a hammer that’s going to hurt teachers to a flashlight that’s going to help them. -- Data Quality Campaign ED Aimee Guidera 1

  11. The idea is fairly simple: If analyzed correctly, student test data can tell educators what works in the classroom and what needs to change. It can tell administrators where to invest resources and which educators are effective. And it can help parents better understand how their children are learning. -- Data Quality Campaign ED Aimee Guidera 2

  12. We have an opportunity to blow the lid off school attainment, dramatically and swiftly reduce the achievement gap and enhance the “life chances” of all children, regardless of their economic or social circumstances. Mike Schmoker 3

  13. “To assess student achievement accurately, teachers and administrators must understand the achievement targets their students are to master. They cannot assess (let alone teach) achievement that has not been defined”. Richard J.Stiggins 4

  14. Sharing

  15. People without information cannot act. People with information cannot help but act. Ken Blanchard

  16. 1. What are focused data talks? Non-emotional look at Student Data Springboard for problem solving Drives decisions for the future Ongoing

  17. It is not……. an autopsy

  18. It is……. Diagnostic

  19. How do you use data? • Discuss with an elbow partner how data is used on your campus/district • You will have 10 minutes • Choose a spokesperson to share out with the larger group

  20. Sharing

  21. System of Interlocking Relationships

  22. Student Data Instructional Materials Leadership Development Professional Development Common Language Instruction C,C,C Alignment Engagement Instructional Technology Parental Involvement Assessments Budgeting Programs Collaboration Accountability PDAS Observations Curriculum Goals

  23. 2. What are the elements of a systematic approach for focused data talks?

  24. Implementation Elements of a Systematic Approach for Focused Data Talks

  25. Foundation for Data Driven Decisions • Specific measurable goals • District • School • Classroom • Student • Implementation of a system-wide curriculum

  26. Culture of Purposeful Use of Data • Explicit Expectations • Explicit Norms • Mutual Accountability

  27. Culture of Purposeful Use of Data Explicit Expectations • All data is revealed • All teachers analyze data • Everyone takes personal responsibility for and acts upon data • No excuses

  28. Culture of Purposeful Use of Data Explicit Norms • Teachers prepare data by a specified date • Teachers analyze their class data, meet with the grade level to analyze data, and meet with the department to analyze data • Data will be analyzed objectively without emotion • Decisions will be made regarding instructional practices for future lessons • Data will be analyzed throughout the school year

  29. Culture of Purposeful Use of Data Mutual Accountability • Every person, regardless of position, has a moral and professional obligation to provide the best education possible to the students we serve • Data is shared with EVERYONE

  30. Data Management System • Timely • Accessible User-friendly

  31. The Right Data • Student Achievement • 9 Weeks • Tests • Daily Work • Other assessments • Instructional Practice • Goal Implementation • Curricular • Resource Allocation • Programs • Planning Decisions

  32. Capacity for Data Driven Decision Making • Invest in Professional Development • Provide support on how to use data and model use of data and data discussions • Provide time for teacher collaboration • Share data and improvement strategies across the district

  33. Analyze Data and Create Next Steps • Immediate Feedback • Data Analysis Protocols • Goal Monitoring Reports • Administrators • Teachers • Students • Next Steps

  34. In God we trust. All others must bring data. Robert Hayden, Plymouth State College

  35. Implementation

  36. Implementation

  37. Plan • Unpack TEKS/Student Expectations • Year at a Glance • Curriculum • Alignment • Content • Context • Concept

  38. Implementation

  39. Teach • Content • Context • Concept • Rigor • Engagement

  40. Implementation

  41. Review • Review content in different contexts at the appropriate conceptual level • Include STAAR formatted questions • Broader scope than what will be tested • Reteach during review if necessary (mini lessons)

  42. Implementation

  43. Assess • Assess with STAAR formatted questions • Assessment will not cover all tested TEKS in all contexts • Assessment results collected and analyzed • Data drives next instructional steps

  44. Implementation

  45. 3. How do we engage in focused data talks?