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Winter Data Review Workday District Leadership Teams. February 27, 2014. Acknowledgements. 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 - PowerPoint PPT Presentation
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Winter Data Review WorkdayDistrict Leadership Teams
February 27, 2014
Acknowledgements
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
Accessing Today’s Materials
POMPOMS!The documents we are using today are on flash drives attached to ISD pompoms.
MTSS Implementers Websitehttp://mtss-implementers.wiki.inghamisd.org District Data Review page
OR
Cute as they are, please don’t take them home!
Describing the Connection
• The district data review process results in the identification of areas that the district schools need to prioritizeo 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
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.
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
Materials• District Folder (Wiki and Flash drive)
o Process Data Tables (BoQ, BSA, PET-R, SWEPT, PET-M, PET-M MS)o District Process Data Overview Formo District Mathematics Overview Formo District Literacy Overview Formo Summary of Effectiveness Decision Ruleso MEAP Targets (Building & District)o Blank Problem Solving Guideo Worked Example Problem Solving Guide (Systems, Behavior,
Academics)
• Illuminate Ed & BAA Log-in Information
Who will do what? Assign roles for each team member
✔ Facilitator o Keep discussion on-topico Elicit input from all team-members
✔ Data Review Guide Recordero Complete the Problem Solving Guide on your laptop and/or a hard copy o May choose to project so team can follow along throughout the day
✔ ASSIST Updatero Pull up ASSIST on your laptopo Add progress updates to your School Improvement Plan throughout the day
✔ Report Generatoro Be prepared to pull up reports on your laptop using Illuminate Ed (if applicable), PBIS Apps and the
BAA Secure Site
✔ Action Plan Recordero As you go through the day, make sure any to-do’s are noted on your action plan (Step 3 in the Problem
Solving Guide) .
✔ Timekeeper and Monitor of Task Completion o Keep your team moving efficientlyo Complete the Exit Checklist as you go, and turn it in to Nicole Belman at the end of the day
Team Time
• Assign Roles• Review:
o Materialso District Improvement Plano Fall 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• Update the District Improvement Plan if needed• Complete the Communication Plan
Data Sets & Purpose
Trend Outcome ProcessMEAP (IE)AIMSweb (IE)
MEAP(IE or MISchoolData.org)
AIMSweb ROI by Measure for Reading & Math (IE)
Summary of Effectiveness(IE)
Suspensions/Expulsions (SWIS or PowerSchool, Skyward)
Tier Transition Report (AW)
Local Assessments (IE)
PET-R (P) SWEPT-R (P)
PET-M (P)
PET-M Middle School (P) BSA (P)
BoQ (P)
AW = AIMsweb; IE = Illuminate Ed;
P = Provided
Illuminate Ed Reports
Use your District Mathematics and Literacy Overview forms for note taking as you are looking at multiple data sets.
District Process DataPET-R/SWEPT & PET-M
• < 80% in RED
District Process Data - Behavior
18
Process Data - Behavior
Benchmarks of Quality (BoQ)
• Completed annually by school leadership teams
• Tier 1 SWPBIS implementation fidelity check
• 53 benchmarks across 10 critical elements of implementation.
• Identifies areas of strength and need; informs problem analysis and action planning.
• 70% Implementation Goal
Self-Assessment Survey (SAS)
• Completed annually by building staff • Fidelity check of PBIS implementation
across (a) school wide, (b) non-classroom, (c) classroom, and (d) individual students
• Seven key elements of the Implementation Subsystems
• Informs of areas of strength and need, including communication between leadership team and staff
• 70% Implementation Goal
pbisapps.org
As seen at Building Data Days
19
Schoolwide Overview- BehaviorAs seen at Building Data
Days
District Process Data - Behavior
Process Data Snapshots: PBIS Benchmarks of Quality (BoQ)
22
Schoolwide Overview- Behavior
As seen at Building Data Days
23
District Outcome Data - Behavior
pbisapps.org… login as
user
24
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
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
Problem Solving Guide
Problem Solving Guide: Step 1
Determine your (first) problem to be addressed today based one what you’ve derived from:• Previous SIP• Outcome Data• Process Data and
Process Data Snapshots
Complete a Problem Analysis: Hypothesize what may be contributing to the problem
Again, your data and the Snapshots can inform this discussion.
Problem Solving Guide: Step 2
Team Time• Assign Roles• Review:
o Materialso District Improvement Plano Fall 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• Update the District Improvement Plan if needed• Complete the Communication Plan
Team Time Locations• Williamston - Room 411
• Waverly - Room 302
• Holt - TEC Room A
• IISD Consultants - TEC Room B
• East Lansing – TEC Room C
Reconvene at 2:45 in rooms ABC
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