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Data Team Process – How do you begin?. Step 1: Examine effect data to identify strengths and weaknesses. Step 2: Consider cause data to identify possibilities. Data Team Process – Now what?. Step 1: Examine effect data to identify strengths and weaknesses. What is the cause data?.
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Data Team Process – How do you begin? Step 1: Examine effect data to identify strengths and weaknesses
Step 2: Consider cause datato identify possibilities Data Team Process – Now what? Step 1: Examine effect data to identify strengths and weaknesses
What is the cause data? • It is NOT the effect data. • proficiency on narrative writing assessment • Cause data measures what teachers do. • # of minutes of daily writing required • Quality of DIRECT writing instruction • # of times per week students receive specific CORRECTIVE/DESCRIPTIVE feedback on their writing • Ways students receive feedback? • Graphic organizers used
Data Team Process – Just good teaching? Step 3: Select specific instructional strategies Step 1: Examine effect data to identify strengths and weaknesses Step 2: Consider cause datato identify possibilities
Example Instructional Strategies • I will model the peer editing process at least twice a week for 10-15 minutes. • I will use non-linguistic representations or graphic organizers one to two times per week. • Students scoring well below standard will attend at least one thirty-minute focused intervention session (outside of class).
Data Team Process–What do you look for now? Step 3: Select specific instructional strategies Step 1: Examine effect data to identify strengths and weaknesses Step 2: Consider cause datato identify possibilities Step 4: Determineresults indicators and look fors
Example Results Indicators… A 50% reduction in grammar errors in graded assignments. Attendance at focused intervention sessions. Example Look Fors…. Students MORE engaged in the peer editing process More FOCUSED conversations/questions during peer editing
Working in data teams isjust good teaching.It involves examining both effect data and cause data. It involves considering strengths and weaknesses.It involves experimenting with instructional strategies.
Collaborative Data Team Members will…. • Examine student effect data • Consider relevant cause data • Select instructional strategy and experiment • Analyze, reflect upon, and share the results