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Getting Started with Data Teams

Getting Started with Data Teams. Justin Baeder Olympic View Elementary | Seattle Public Schools www.eduleadership.org. Session Description. How can teams of teachers use their meeting time to work on substantive issues of teaching and learning?

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Getting Started with Data Teams

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  1. Getting Started with Data Teams Justin Baeder Olympic View Elementary | Seattle Public Schools www.eduleadership.org

  2. Session Description • How can teams of teachers use their meeting time to work on substantive issues of teaching and learning? • Data teams focus teachers’ attention on student learning by identifying a specific skill or topic with which students are struggling, and collaboratively developing a set of strategies to bring all students to mastery. • This presentation will describe an elementary school’s experience in starting data teams, and will examine the issues surrounding successful implementation.

  3. “Best practices don't pay off until they have been implemented and fine-tuned in short-term, closely studied cycles. Such empirical efforts need to become the norm, the stuff of a new, more professional culture of experimentation in teaching.” Mike Schmoker, Results Now

  4. The Instructional Core

  5. The Instructional Core • Too much PD is removed from teaching and learning • Even when we do focus on the teacher-student-content relationship, we don’t focus adequately on instruction • Teachers tend to avoid discussing instructional practice ?

  6. The Buffer Instructional Improvement Teacher Conversations Buffer

  7. Data Teams & The Buffer Instructional Improvement Teacher Conversations Data Teams Buffer

  8. Doug Reeves’ Data Team Model • Detailed and robust process • Focuses on student proficiency on common assessments • 10-step cycle, starting and ending with standards • 5-step process for data team meetings More info: www.LeadAndLearn.com

  9. Doug Reeves’ 5 Steps for Data Teams

  10. Four Recommendations for Getting Started with Data Teams

  11. Reeves’ Steps in Action

  12. Example: 5th Grade Math Topic: Adding & subtracting fractions with like & unlike denominators Pretest: 30% of students proficient 1. Collect & Chart Data

  13. Example: 5th Grade Math 2. Analyze Strengths & Obstacles

  14. Example: 5th Grade Math The percentage of students scoring proficient and higher on the fraction addition/subtraction assessment will increase from 30% on 2/5/09 to 80% by 2/27/09, as measured by the teacher-made fraction addition and subtraction assessment. Generic format:The percentage of students scoring proficient and higher on _______________1 will increase from __________%_2 on ______________3 to __________%_4 by _________________5 as measured by ____________6 administered on ____________7.1. Assessment name, 2. Baseline %, 3. Pre-test date, 4. Goal %, 5. Post-test date, 6. Assessment description, 7. Assessment date 3. Establish goals: Set, Review, Revise

  15. Example: 5th Grade Math Teach Unit 6 lessons Provide extension work for students at mastery, and spend extra time providing direct instruction and extra practice for students not at standard – such as…? Have students play fraction addition & subtraction game online Review 6.2 introductory mini-lesson with small group Teach mini-lesson and do practice sheet on finding common denominators 4. Select Instructional Strategies

  16. Example: 5th Grade Math Post-assessment scores higher than pre-assessment scores Students are observed to go through each of the steps to add or subtract fractions Completion of specified instructional activities 5. Determine Results Indicators

  17. Example: 1st Grade Math

  18. Example: 1st Grade Math

  19. Example: 1st Grade Math

  20. Example: 1st Grade Math

  21. Example: 1st Grade Math

  22. Example

  23. Practicing the 5-Step Process Reeves’ 5 Steps: • Collect & chart data • Analyze strengths and obstacles • Establish goals: set, review, revise • Select instructional strategies • Determine results indicators Try It: • Consider a problem you face as a leader • Record data you can reconstruct from memory or have with you • Set a SMART goal • Brainstorm strategies for moving toward goal • List indicators of fidelity and success

  24. Outcomes of the Data Team Process • Improved student performance in specific, targeted areas • Reduction of “the buffer” • Collaboration focused on specific instructional strategies with proven impact on student learning (not just “penguins or puffins?” discussions)

  25. Next Steps for Olympic View • More regular meeting times • Clear deadlines for when forms are due • Regular reference to data team work in other forums • Public posting/sharing of data • Celebrating successes and addressing challenges

  26. Four Recommendations for Getting Started with Data Teams

  27. Doug Reeves’ 5 Steps for Data Teams

  28. Q & A

  29. Thank You Slides available at www.eduleadership.org

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