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Data Wise

Data Wise. A process for working with data to improve teaching and learning. All good processes are focused, malleable, and manageable. Victory is in the classroom. Continuous improvement in teaching, leadership and accountability. Focus. Malleable.

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Data Wise

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  1. Data Wise A process for working with data to improve teaching and learning

  2. All good processes are focused, malleable, and manageable.

  3. Victory is in the classroom Continuous improvement in teaching, leadership and accountability Focus

  4. Malleable Tailored to fit the specific needs of the staff, students, and school community

  5. Manageable Building capacity by working collaboratively toward a common goal

  6. Information + Process = Better Better instructional leadership Better teaching Better student performance

  7. The Data Wise Improvement Process

  8. What is Data Wise?Group Assignment Skim the assigned article. Read the assigned section. Individually capture the quote you feel best describes the step of Data Wise you are reading. As a team, create a poster with two quotes you feel best describe your step. Present in order by steps.

  9. Prepare • Organize for Collaborative Work • Build Assessment Literacy

  10. Inquire • Create Data Overview • Dig Into Student Data • Examine Instruction

  11. Act • Develop Action Plan • Plan to Assess Progress • Act and Assess

  12. Think, Write, Pair, Share • Reflect on the Data Wise process. How does this compare to what exists in your school now? How would it impact student learning at your school if this became the way you used data?

  13. How do we develop a new way to see data, talk about data, understand what the data says, and plan instruction based on evidence from the data artifacts?

  14. Data Wise Section I: Prepare Step One: Organizing for Collaborative Work Step Two: Building Assessment Literacy

  15. Step One: • Organize for Collaborative Work Compass Points Protocol

  16. Compass Points North- “Just get it done.” West- “Pay attention to details.” East- “Look at the big picture.” South- “Take into account everyone’s feelings.”

  17. Compass Points • What are the strengths of your style? • What are the limitations of your style? • What style do you find most difficult to work with and why? • What do people from other styles need to know about you so that you can work effectively? • What do you value about the other three styles?

  18. Reflection • List the teams present in your school. What is the purpose of each team? What is the focus of each team? How do those teams communicate with each other and the school as a whole? Share with the class ideas for making current practice more efficient.

  19. System of Teams

  20. Roles and Responsibilities • Leadership Team Honors collaborative work by creating time to meet, listening to input, and providing support. • Data Team Identifies data to analyze, creates data overview for staff, listens to input, and provides support. • PLC Analyzes data, identifies learner-centered problem, problem of practice, and strategies to improve instruction.

  21. System of Teams Interactive Communication

  22. Data Inventory • List the data sources available to your staff that would help you get a picture of the learning happening in your school.

  23. Inventory of Instructional Initiatives • List the initiatives implemented at your school, their purpose, and the data sources that could show their implementation.

  24. Setting the stage for success

  25. Step Two: • Build Assessment Literacy

  26. Assessment Literacy • Build the foundation for meaningful discussions • Include every stakeholder • Simplify the muddle of data overload • Speak in terms that are easily understood • Make abstract concepts visible

  27. Is it summative or formative?

  28. Assessment Literacy Develop a working knowledge of the key concepts of data reporting to assess data appropriately. Understand the limitations of the data you have. Know the appropriate application of the information assessments provide. Identify sources of data other than state/LEA reported scores. Triangulate data sources for a more complete picture of what is really happening in the school.

  29. Self-Evaluation Form • Used in CMS as part of the School Improvement Plan process Every school, every year • Created as the first step in the School Quality Review process developed in England Classroom observations focus on student engagement • Provides vital data about all aspects of the school to facilitate data-driven decisions Most important question: How do you know?

  30. Homework • Complete the analysis of the Self Evaluation Form (SEF) • Complete the Reading Guide for Ch. 3-5

  31. Session Two • Review SEF analysis • Benefits • Issues

  32. Data Wise Section II: Inquire Step Three Creating a Data Overview Step Four: Digging Into Data Step Five: Examining Instruction

  33. Step Three • Create a Data Overview (data team) Decide on an educational question. Issues

  34. Step Three • Create a Data Overview Decide on how to present the data framing the question. Issues Determine the purpose of the data display based on the conversation you want your audience to have about the data.

  35. Data Overview • What do you want to emphasize? Celebrate what you do well. What else can we work on to improve our school?

  36. Graphics Keep focus on specific issue Condense information in a small space Stimulate conversation Tailored to audience Trends easily identified Defines importance of data Provides rationale and purpose

  37. Drawing Comparisons • Make logical comparisons • Base comparisons on student achievement • Moment in time snapshot • Focus attention to emerging questions • Keep evaluation out of the conversations. • Talk about data, not people Raise questions, don’t make judgments

  38. Good Displays • Clear coding and labels • Uncluttered, clear data • Stimulate questions for deeper inquiry

  39. Analysis Questions • What do you see? • What do you make of it?

  40. Protocols/Strategies • Pair/Share • Continuum • Question Formulation

  41. Look at the Data • Use Pair/Share to “see” the data and begin developing questions you want to ask about the data. • Share with another pair. • Choose the question you think will get you the most valuable information if it were answered.

  42. Elementary SchoolsFifth GradeFirst Quarter Scores

  43. Data Overview Create graphic displays to make underlying educational stories and themes transparent. Use the graphic displays to stimulate conversation.

  44. The Data Overview helps the staff ask the “What” questions. What does the data say about student achievement? What areas can we celebrate? What areas can we strengthen? What should we focus on? What are we missing?

  45. Step Four: • Digging Into Data Just looking at quantitative data gives an incomplete picture of what is happening in the classroom. Remember, don’t make assumptions based on the data overview! Find rich, targeted data sources that can give you more detailed information to identify a learner centered problem.

  46. Find a way to examine student thinking processes. If you want to know why the students perform poorly on the writing test, what data source could give you rich, targeted, detailed information about student writing?

  47. Identifying the Learner-Centered Problem • Do students have any skills and knowledge to build on, or do they need a total re-teaching of the information? • Are students lacking skills and content knowledge, or is the design of the assessment itself giving them difficulty?

  48. Challenge Assumptions • Don’t confuse assumptions for evidence. • Do we mean it when we say all students can learn? • Are we willing to change our practice to facilitate student achievement? • Are we willing to embrace unexpected trends and leads?

  49. Triangulate Data The purpose of triangulating various pieces of data is to explore new information, not to find validation for an assumption!

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