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Embracing Data & Celebrating Error Introduction to Data Driven Instruction

This introduction explores the importance of data-driven instruction in educational settings, emphasizing how data informs teaching practices. Through the lens of California High School Exit Exam (CAHSEE) performance metrics, the document examines various instructional models. It highlights the need for continuous assessment, analysis, and intervention to improve student outcomes. By focusing on data-informed instruction, educators can effectively diagnose learning gaps and adapt methods to foster student growth. This essential guide encourages a proactive approach to teaching and assessment, aiming for sustainable learning progress.

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Embracing Data & Celebrating Error Introduction to Data Driven Instruction

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  1. Embracing Data & Celebrating ErrorIntroduction to Data Driven Instruction

  2. CAHSEE Pass and Proficient 450 ~70 RS or ~78% ELA ~59 RS or ~74% Math 400 390 Proficient 380 370 ~14 Items ELA ~15 Item Math 360 Pass 350 340 ~56 RS or ~62% ELA ~44 RS or ~55% Math 330 275

  3. How Far Have We Come?

  4. Medical Metaphor Symptoms Examination Diagnosis Cause Prescription Treatment Prognosis

  5. Data Informed Instruction Three Models

  6. Non-Informed Instruction Very Bad Model Curriculum (Standards) Instruction Teach Whole Standard Again ? Louder Learning

  7. Data-Informed Instruction Curriculum (Standards) Intervention Model Feedback Instruction ? Assessment Learning

  8. Data-Informed Instruction Preventive Model Curriculum (Standards) Feed Forward Instruction Pedagogy Data Analysis Existing Info BFI Learning

  9. Collaborative Focus Questions • What is it we want the students to learn? • How do we know if they learned it? • What do we do if they haven’t learned it? • Why DIDN’T they learn it? • What do we do when they have learned it?

  10. Assessment Hierarchy California Standards Tests (CSTs) Benchmark Assessments Short-Cycle Assessments Instructional Program Assessments Teacher Made Assessments Questioning Observation

  11. Reduction Funnel STAR CSTs Dist-Bmk S-C-As Funneling enables us to zoom in on achievement problems at increased levels of magnification and detail

  12. 12 12 12 12 1 1 1 1 11 11 11 11 2 2 2 2 10 10 10 10 9 9 9 9 3 3 3 3 8 8 8 8 4 4 4 4 7 7 7 7 5 5 5 5 6 6 6 6 What is Error Analysis? Big Hand? Little Hand?

  13. 12 ÷ 3 = ? A. B. C. D. Selected-Response Item STEM 4 ITEM 9 RESPONSES 15 36 CORRECT RESPONSE DISTRACTORS

  14. Item Diagnosis Example 17. Last year the cost of tuition at Community College was $2200 a semester. If the tuition increases by 15%, what will the will the new cost be? A. $ 330 B. $1,870 C. $2,332 D. $2,530 32% Didn’t add increase to principal 7% Subtracted increase to principal 3% Incorrectly calculated increase 58% Correct What About Reporting?

  15. 32% 58% 3% 7%

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