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Establishing A Vision for our Data

Establishing A Vision for our Data. Elin Franzen and Cat Bosmeny. What is our Vision for Summit Academy?. What data do we need to have to prove we are successful?. Currently, what data are we looking at?. CSAP data (only have 1 year of data) MAPs data (2-3x a year) CELA data

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Establishing A Vision for our Data

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  1. Establishing A Vision for our Data ElinFranzen and Cat Bosmeny

  2. What is our Vision for Summit Academy?

  3. What data do we need to have to prove we are successful?

  4. Currently, what data are we looking at? • CSAP data (only have 1 year of data) • MAPs data (2-3x a year) • CELA data • Attendance Rate • Student Pass rate of classes

  5. How does the data we have help us? • CSAP data (only have 1 year of data) • State mandated – identifies how we compare to other schools. Delay in data until next school year. • MAPs data (2-3x a year) • CSAP predictor, identifies which standards our students are strong in/struggle with • CELA data • Data on English language learners? • Attendance Rate • Disheartening • Student Pass rate of classes • Identifies supportive/nonsupportive classes or easy/hard teachers

  6. What data do we need to prove to others we are successful? • Teacher Level: • Departmental Level: • School-wide Level:

  7. Curriculum and Instruction Data Team • Will Crookston • Andy Morris • Jil Washburn • Roland Blasini • Cat Bosmeny • Herbert Lynch • Buddy George • Gregg Heid

  8. How can the Curriculum & Instruction Data Team support us? • Support each department in identifying how they want to track data • Establish monthly department meetings to dissect data • Review data • Share results (successes/best practices)

  9. Monthly Department Data Meetings • Pick 2 specific content related areas (standards) to examine. • Reflect on teacher actions and student actions to identify best practices/plans to improve • Follow up with action plans after meeting is over

  10. Proposed Timeline for Data Implementation

  11. Data Meetings: Do and Don’ts • DO be respectful – Sometimes data feels personal! • DO identify teacher names when appropriate • DO be open and honest when sharing own data • DO be data driven when making decisions • DO take ownership of the data • DO come prepared with appropriate data • DON’T allow this meeting to be pointless!

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