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1.Open your school’s CEE Achievement Index Summary – Section 5 2.Open your Action Planning Handbook: “Data Reflection Protocol – State Assessments” (Appendix.

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Presentation on theme: "1.Open your school’s CEE Achievement Index Summary – Section 5 2.Open your Action Planning Handbook: “Data Reflection Protocol – State Assessments” (Appendix."— Presentation transcript:

1 1.Open your school’s CEE Achievement Index Summary – Section 5 2.Open your Action Planning Handbook: “Data Reflection Protocol – State Assessments” (Appendix B.4) Before We Begin You will use these during this short presentation.

2 Data Reflection Protocol

3 ACHIEVEMENT INDEX (AI) SUMMARY ANALYSIS Spring 2015 Center for Educational Effectiveness: Greg Lobdell Office of Student and School Success, OSPI: Sue Cohn

4  Understanding the two major views of AI data in the report  Considering what the data tell us and possible questions  Next Steps with your teams  Contact Information “Pause and reflect”: When you see these in the PPT, you can pause the video to reflect on what you see in your data! Bill Wagner / The Daily News Monticello “Success Night” Agenda

5 A QUICK REFRESHER FOR THE ACHIEVEMENT INDEX (AI) SEE : HTTPS://EDS.OSPI.K12.WA.US/WAI HTTPS://EDS.OSPI.K12.WA.US/WAI

6 Proficiency: Reading, Mathematics, Writing, and Science (equal weighting) Student Growth: Reading and Mathematics (equal weighting) Grade Bands: All grades in a school (e.g., a K-8 school would include grades 3, 4, 5, 6, 7, and 8) Weighting: – Elementary and middle schools: 60% weighted for growth, 40% for proficiency – High schools: 33% weighting each for proficiency, growth, and graduation rate – All schools: Targeted Subgroups equally weighted to “All Students” group ACHIEVEMENT INDEX (AI)

7 AI for Sample Middle School for 2014 = 6.06 AI= ACHIEVEMENT INDEX FOR EACH YEAR

8 AI for Sample Middle School 2012= 5.80AI for Sample Middle School 2013= 5.95AI for Sample Middle School 2014= 6.06 COMPOSITE AI = 3-YEAR AVERAGE = 5.94 5.94 = (5.80 + 5.95 + 6.06) / 3

9 Before beginning your review of these data, please reflect on your preliminary thoughts about your Achievement Index performance in light of changes you have made in teaching and learning. One or more of the following thought-starters may be helpful. – I assume… – I predict… – I wonder… – My questions/expectations are influenced by… See Appendix B.3 in the Action Planning Handbook or National School Reform Website at: http://www.nsrfharmony.org/free- resources/protocols/a-zhttp://www.nsrfharmony.org/free- resources/protocols/a-z Pause and Reflect #1

10 Action-Planning Process

11 See Section 5 of the Student Performance Data Dashboard in the Comprehensive Data Package and Services Achievement Index (AI) Summary Analysis

12 AI Overview – Shows Composite Achievement Index (AI) relative to improvement in Annual AI – Compares school’s AI relative to other schools at same level (e.g., middle school to middle school) Details – Shows Proficiency vs. Student Growth view with breakdown for Reading and Math components in each – Includes views for ALL-Students, Low-Income, Students with Disabilities, ELL, and Former-ELL subgroups AI Summary Analysis

13 Critical Questions: AI Summary Analysis Critical questions the data should answer: – Overall, where is our school on the Achievement Index? – Is our AI on an improving or declining trend? – Relative to schools at our level, how are we doing By content area? With respect to Median Student Growth and Proficiency? – Where are our strengths and challenges? Proficiency Median Student Growth – For the major sub-groups: Where are our strengths and challenges?

14 The number of students assessed per content area must be at least 20. Applies to ALL-Students and each subgroup E.g., K-5 Elementary with 8 ELL students in 3 rd grade, 9 ELL students in 4 th grade, and 7 ELL students in 5 th grade would have an N = 8+9+7 or 24 students If you are missing data, then the number of students assessed was less than 20. “Missing Data” in Your Charts

15 OVERALL ACHIEVEMENT INDEX (AI)

16 Top Chart: Shows 3-year Composite AI (x axis) and Change-Per-Year (y axis) Middle Chart: Shows Annual and Composite AI values Table: Shows the underlying data and change in points per year Overall AI

17 Overall AI Relative to Other Schools

18 Year-by-Year AI Values

19 Are we above or below the median in Composite AI? Are we above or below the median in Change-Per- Year? Is our year-by-year trend improving or declining? What more do we need to know? Pause and Reflect #2

20 ACHIEVEMENT INDEX DETAILED VIEWS

21 Detailed Views (individual pages) are provided for: – All-Students – Low-Income – Students with Disabilities – ELL – Former ELL AI Detailed Views

22 2 Sections on each page Top Section: Reading Bottom Section: Math AI Detailed Views

23 In Each Section Median Growth vs. Proficiency Proficiency Details Median Growth Details

24 In Each Section

25 Where is our greatest strength and challenge when looking at “All Students” and at subgroups? Are reading and math congruent or are there areas of significant strength or challenge? Are our year-by-year trends improving or declining? What more do we need to know? Pause and Reflect #3

26 Critical Questions: AI Summary Analysis Critical questions the data should answer: – Overall, where is our school on the Achievement Index? – Is our AI on an improving or declining trend? – Relative to schools at our level, how are we doing By content area? With respect to Median Student Growth and Proficiency? – Where are our strengths and challenges? Proficiency Median Student Growth – For the major sub-groups: Where are our strengths and challenges?

27 Data around: – School and district strengths – Evidence based programs and services – Barriers See page 10 of Student and School Success Action-Planning Handbook Deepening Your Understanding

28 Next Steps

29 Incorporating Perceptual Data in Data Reflection Protocol

30 Perceptual Data

31 Office of Student and School Success: (360) 725-4960 or www.k12.wa.us/StudentAndSchoolSuccesswww.k12.wa.us/StudentAndSchoolSuccess  Andy Kelly: andrew.kelly@k12.wa.usandrew.kelly@k12.wa.us  Travis Campbell: travis.campbell@k12.wa.ustravis.campbell@k12.wa.us  Craig Shurick: craig.shurick@k12.wa.uscraig.shurick@k12.wa.us  Sue Cohn: sue.cohn@k12.wa.ussue.cohn@k12.wa.us Center for Educational Effectiveness  Greg Lobdell: Data analysis & data usage: greg@effectiveness.orggreg@effectiveness.org  Jennifer Jones: Operations and Report Delivery: jennifer@effectiveness.org jennifer@effectiveness.org Contact Information


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