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May 29, 2014. The material for this training day was developed by Ingham ISD: Theron Blakeslee, John Endahl, Melanie Kahler, Matt Phillips, Jeanne Tomlinson,

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Presentation on theme: "May 29, 2014. The material for this training day was developed by Ingham ISD: Theron Blakeslee, John Endahl, Melanie Kahler, Matt Phillips, Jeanne Tomlinson,"— Presentation transcript:

1 May 29, 2014

2 The material for this training day was developed by Ingham ISD: Theron Blakeslee, John Endahl, Melanie Kahler, Matt Phillips, Jeanne Tomlinson, Kelly Trout, Laura Colligan and Mary Jo Wegenke Content based on the work of… MiBLSi project Steve Goodman, Anna Harms, Melissa Nantais, Jennifer Rollenhagen, Kim St. Martin, Tennille Whitmore George Batsch, University of South Florida Robert Balfanz, Everyone Graduates Center and Johns Hopkins University Roland Good and Rob Horner, University of Oregon George Sugai, University of Connecticut Joe Torgesen, Florida Center for Reading Research Dawn Miller, Shawnee Mission School District, Kansas

3 Where to access materials for today: 1. POMPOMS! The documents we are using today are on flash drives attached to ISD pompoms. 2.MTSS Implementers Website http://mtss-implementers.wiki.inghamisd.org  Building Data Review page OR Materials you will need today Data Review Workbook(MTSS Wiki & hardcopy) Problem Solving Guide (MTSS Wiki & hardcopy) Worked Example Problem Solving Guide (MTSS Wiki & hardcopy) Log-in Information: Illuminate, BAA, pbisapps.org, and SWIS Process Data: PETR/SWEPT, PET-M, BSA, BoQ, SAS Cute as they are, please don’t take them home!

4 I can articulate…  the purpose and value in a District Data Review.  how process data can inform the district about current academic and behavior systems  how student outcomes data can inform the district about student performance.  how student outcome data and process data can be used together to inform district goals.  the purpose and steps in a problem solving process; gather data, identify and analyze problem(s), develop an action plan, and evaluate the plan.

5 Data Review Workday Working Agreements Participants  Work through the Continuous Improvement Process using current data to identify district wide needs, trends, patterns and create an action plan to address area(s) of concern and deploy resources. Administrator  Assist staff to make instructional decisions based on data  Assist with resource allocation so action items can be implemented Ingham ISD  Provide tools to assist with data analysis  Provide guided facilitation for problem solving using the Continuous Improvement Cycle

6 » Time is an even higher commodity » Districts will have tensions between the needs of schools and the demands and resources available from the region and state » More data to analyze, analysis techniques will differ » Decisions and actions must take into account the entire district

7 » The district data review process results in the identification of areas that the district schools need to prioritize ˃The priorities (findings from the data review) need to be communicated to the administrative team and to the building leadership teams and staff » Priorities and corresponding actions are documented in both the District Improvement Plan and the School Improvement Plan(s) » The district data review process looks for common implementation challenges across schools so that the district implementation team can work to eliminate barriers to successful implementation

8 New Page 4 in Data Tool Kit

9 Data-based Problem Solving

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11 First Few Days of School

12 What … Assumptions do we bring to this discussion? Important points seem to pop out? Patterns, categories, or trends are emerging? Seems to be surprising or unexpected? Additional data sources do we need to explore? Inferences, explanations, or conclusions might we draw? Solutions might we explore as a result of our conclusions? got data? Now What?, Solution Tree Press, 2012

13 » got data? Now What?, Solution Tree Press, 2012

14 An issue recurs with frequency, year after year. An issue is pervasive across multiple grade levels, student groups or school settings. An issue consumes high levels of energy, time and resources. Even after an improvement bump, performance plateaus and subsequent data flatline. got data? Now What?, Solution Tree Press, 2012

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17 As seen at Building Data Days

18 » Annual and/or Trend Data Suspensions: % of students, events, and duration by grade level (elementary, middle, high school); EWS Target is » > 90% have 0 (zero) OSS Triangle Data: Tiered report of Office Discipline Referrals Ethnicity Reports

19 » Assign Roles » Review: ˃Materials ˃District Improvement Plan ˃Winter Action Plan » Begin Data Analysis Process Data (use the Process Data Overview Forms to record observations) Outcome data (use the District Literacy & Mathematics Overview Forms as a place to record observations) Current Performance, Trends, Special Education Review the School-wide overview forms from Building Data Review Prioritize areas of concerns across the district » Begin the problem solving process » Using ASSIST, enter the information into the District Improvement Plan Complete the Communication Plan

20 Please Complete the Session Evaluation

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