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Using Data

Using Data. TO GUIDE ACTION FOR SCHOOL IMPROVEMENT Building a Data Team. Deb Wragge, Carol Jessen Professional Staff Developers. Goals:. To define, prepare, and establish an active and effective Data Team To recognize and implement effective data collection and display

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Using Data

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  1. Using Data TO GUIDE ACTION FOR SCHOOL IMPROVEMENT Building a Data Team Deb Wragge, Carol Jessen Professional Staff Developers

  2. Goals: • To define, prepare, and establish an active and effective Data Team • To recognize and implement effective data collection and display • To study, practice and implement a data inquiry protocol

  3. Agenda

  4. Data Team Definition: • A group of people dedicated to improving student achievement through data inquiry

  5. A Data Team is NOT… A Data Team IS… • Solely responsible for all of the work involved in pursuing improvement A group of people: who have agreed to dedicate time and effort to organize efforts around data who will help build and maintain a culture of data use

  6. Confidentiality • Importance – • Because it is likely the team will use identifiable student data • Confidentiality Agreement

  7. Roster and Attendance • Purpose – • To track membership and attendance • To ensure everyone knows • who is on the team • their role • how to reach them • To serve as a simple sign-in sheet for each data team meeting records

  8. Team Roles and Responsibilities • Important and Common Roles: • Facilitator • Time-Keeper • Recorder • Referee • Planner • Active Participant

  9. Shared Values and Behavior Norms • Coming to consensuses on the group’s shared values and expectations for Behavior • Developing a clear and shared understanding of the team’s • Purpose • Specific roles • Responsibilities of each member • How the team will conduct its meeting

  10. Identify Values and Behavior Norms

  11. Meeting Organization • To keep on task and moving forward, every meeting should have an agenda to guide the discussion and work. • Important items to include on the agenda are: • Affirmation of team norms and values • A review of the status of the last meeting’s action items • Objective and expected outcomes for the meeting • Action items to pursue for the next meeting (including identifying who is responsible) • Time allotments for each agenda item

  12. Sample Agenda using Today’s Work

  13. The Six Stages of the Cycle of Data Inquiry

  14. A data-rich environment

  15. A cohesive data analysis and decision-making process

  16. Why have a data process? • To ensure high-quality outcomes • Seamless transitions • To use data to answer important questions • Structured and systematic • Leading to informed decision making and action Its purpose? What makes it effective?

  17. Data Teams • What is a Data Team? • What is their role and function? • What structures and process do they use? • A climate of trust and openness • Open and honest communication • A sense of belonging • Diversity valued as an asset • Creativity and risk-taking • Ongoing evaluation with ability to self-correct • Members who are interdependent • A consensus decision-making style • Participatory leadership • Do they require ongoing support?

  18. The data team process is continuous.The data team’s work is NEVER complete.

  19. The Six Stages of the Cycle of Data Inquiry

  20. Stage 1: • ASK GOOD QUESTIONS

  21. Stage 1: • ASK GOOD QUESTIONS 1 A. Identify the Focus Area

  22. Stage 1: • ASK GOOD QUESTIONS 1 B. Generate Possible Questions

  23. Possible Questions

  24. Stage 1: • ASK GOOD QUESTIONS 1 C. Narrow the Question to Focus Inquiry

  25. Stage 2: • Collect and Prepare the Data

  26. Stage 2: • Collect and Prepare the Data 2 A. Data Collection Plan

  27. Summary & Wrap-Up • Thinking About Today’s Work… • Give One Learning/Ah HA to your Right-Hand Partner • Take OneLearning/Ah HA from your Left-handed partner • Large Group Quick Share… So, What Occurred Today? Next Steps….. What does the Data Team NEED to Do/Prepare for the November 21 Work Session ? 1. 2. 3. 4.

  28. Stage 3: • Find Trends and Make Observations

  29. Stage 3: • Find Trends and Make Observations 3 A. SURFing the Data

  30. SURF Remember to ALWAYS SURF!

  31. Stage 4: • Interpret the Data

  32. Stage 4: • Interpret the Data 4 A. Celebrate Strengths and Identify Challenges

  33. Stage 4: • Interpret the Data 4 B. Prioritize the Challenges

  34. Stage 4: • Interpret the Data 4 C. Determine Driving Factors

  35. Definitions: Area of Control: Area of Influence: Area of Concern: • The team has no ability to alter the factors in this area, but these factors do remain a concern.

  36. Stage 4: • Interpret the Data 4 C. Determine Driving Factors

  37. Stage 4: • Interpret the Data 4 D. Fishbone Diagram

  38. Stage 4: • Interpret the Data 4 D. Isolate Controllable Driving Factors

  39. Definitions: Area of Control: Area of Influence: Area of Concern: • The team has no ability to alter the factors in this area, but these factors do remain a concern.

  40. Stage 5: • Plan for Action

  41. Stage 5: • Plan for Action 5 A. Identify Strategy for Action

  42. Stage 6: • Implement, Monitor, and Sustain

  43. Stage 6: • Implement, Monitor, and Sustain 6 A. Action Plan – Organizing the Team for Action

  44. Stage 6: • Implement, Monitor, and Sustain 6 B. Evaluating Progress and Improvement

  45. The Six Stages of the Cycle of Data Inquiry

  46. Summary & Wrap-Up What NOT to Do… and, Your NEED to Do’s • Data_Displays copy.ppt • School Need to Do’s

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