Spring Data Review Workday District Leadership Teams

May 29, 2014

AcknowledgementsThe 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

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 Websitehttp://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!

Learning Targets

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.

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

implementedIngham ISD Provide tools to assist with data analysis

Provide guided facilitation for problem solving using the Continuous Improvement Cycle

District evaluation of MTSS. . . not an exact replication of building-level problem solving

» 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

Describing the Connection

» 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

Evaluating Previous Plan

New Page 4 in Data Tool Kit

Problem Solving Guide

Data-based Problem Solving

Connection to School Improvement

Scheduling of Action Items

First Few Days of School

Data Analysis…Something to think about

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

5 Reasons Why Problem Exists

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

Criteria for Pursuing Worthy Problems

• 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

Process Data Snapshots: PBIS Self-Assessment Survey (SAS)

As seen at Building Data Days

District Outcome Data - Behavior

» 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

Team Time

» Assign Roles» Review:

˃ Materials˃ District Improvement Plan˃ Winter Action Plan

» Begin Data AnalysisProcess 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 EducationReview 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

Please Complete the Session Evaluation

THANK YOU!