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What’s Data Got to Do With It?
VT’s approach to supporting schools through data-
based decision making and problem solving
Presented by:
Jim Drown, Burlington School District
Josh Souliere, Vermont Agency of Education
Cassandra Townshend, University of Vermont
Who are we?
VTPBiS State
Implementation
Team
VT Agency of
Education
University of
Vermont - CDCI
Who are you?
Administrators
SU/SD Folks
Teachers
Special
Educators
Counselors
Behavior
Specialist
PBIS
Coaches
PBIS State Team
Members
Para educators
Trainers
Agenda
1. VTPBiS Data Tools Available to Schools
2. How the State Supports VTPBiS Schools
3. VTPBiS Data Tools available to the State
4. How the State uses Data Tools
5. How are we doing?
6. Sustainability Efforts
Population:
626,562
Schools:
310
Students:
84,519
SU/SD:
62
School boards:
285
Connecticut vs. Vermont
Connecticut
Population = 3,596,677
Size = 4,842 square miles
Vermont
Population = 626,562
Size = 9,614 square miles
Connecticut vs. Vermont
VS.
Where is PBIS in VT?
After 7 years of implementation:
• 43% of VT Schools
• 85% of SU/SDs
• Impacting 29,583 students!
SU/SD with
at least ONE
PBIS
School!
Vermont PBIS Schools Over Time
SY 07 SY 08 SY 09 SY 10 SY 11 SY 12 SY 13 SY 14
PBIS Schools 3 28 50 75 104 113 126 128
SU/SDs 1 14 27 34 42 44 49 50
0
30
60
90
120
Number of VTPBiS Schools and SU/SDs
• 6 out of 9 Schools
Implementing PBIS
• Implementing PBIS for 6
years
• Serving 4,000 students
• The most diverse School
District in the State
• 57 Different Languages
• 50% Free and Reduced
Lunch
PBIS
SYSTEMS
PRACTICES
DATA
Supporting
Staff Behavior
Supporting
Decision
Making
Supporting
Student Behavior
What is the strongest predictor of PBIS
sustainability?
Kent McIntosh, University of Oregon - 2014 OSEP PD Conference
93
66
87
71
88
70 73
68
76 78
86
61
88
72
91
74
68 69
83 81
89
66
90
75
92
78
73 70
86
82
Vermont PBIS Schools
Average % BoQ Score by Element
SY 13 SY 14 SY 15
What’s Data Got to Do With It?
What does Data Analysis
Mean?
Questions on the BoQ:
15. Data system to collect and analyze ODR data
16. Additional data collected (attendance,
grades, faculty attendance, surveys)
17. Data entered weekly (minimum)
18. Data analyzed monthly (minimum)
19. Data shared with team and faculty monthly (minimum)
SCHOOL LEVEL
School
Coordinators
SU/SD LEVEL
SU/SD
Coordinators
REGIONAL LEVEL
Implementation
Coaches
STATE LEVEL
Trainers/State TA’s
Vermont PBIS System of Support
SCHOOL LEVEL
School
Coordinators
Vermont PBIS System of Support
-- Schools --
Key Tools:
• School Coordinator Self-Assessment
• SU/SD Coordinator Checklist
• VTPBiS Schedule of Assessments and
Resources
• Coordinators’ Calendar of Activities
• Role of the Data Analyst
School Coordinator Self-
Assessment
SU/SD Coordinator Checklist
VTPBiS Schedule of
Assessments and Resources
Coordinators’ Calendar
• Role:
– To create data summaries that will facilitate the team in
• determining if there are problems
• jump starting a problem solving discussion, and
• evaluating the impact of solutions and fidelity of
implementation
• General Responsibilities:
– Prepares a brief written summary for distribution at
meetings using each of the data sources needed for
problem solving and decision making
– Help to generate reports during the meeting as questions
of the data arise
Data Analyst: Role & Responsibilities
Role of the Data Analyst in BSD
• It’s important because………
• All schools have one………..
• Regular mtgs occur……….
• Data is used for…….
How are VTPBiS Schools Supported
by the State?
• Website
• Newsletter
• PD Calendar
• Data Days Regional
Events
• Data Days Webinar
• SWIS Webinars
• Asynchronous online
TIPS Training
• PBIS Assessment User
Instructions
• Regional Coordinators’
Mtgs
• State TA’s and Coaches
VTPBiS Website
VTPBiS Matters Newsletter
Regional Data Days
Data Team Meeting - Example
TIPS - Improving Decision-Making
TIPS II Training Manual (2013) www.uoecs.org
From
TO
PROBLEM
SOLUTION
PROBLEM SOLVING
TIPS Learning Module
VTPBiS Regional Coordinators Meeting
May 2015
Regional Coordinators’ Mtgs
Goals:
1. Networking
2. Problem-solving
3. NEW content
STATE LEVEL
Trainers/State
TAs
Vermont PBIS System of Support
-- State --
Key Tools:
• Access to School Data
– SWIS (Office Discipline Referral
Data)
– PBIS Assessments (BoQ, SAS,
BAT)
• Readiness Checklists
• Training Satisfaction Surveys
• Annual Acknowledgements
• Annual Report
Access to School Data
SWIS Big 7: Core Reports
• Role as SU/SD SWIS Facilitator
– Only one in the State
• This role has helped Burlington schools……
– Immediate access to support
– Broadview of district behavioral trends – leading
to effective and efficient PD
– Increase understanding and awareness of use of
data for building Administrators
• Integrating academic and behavior data
ALL
FEW
SOME
Readiness Checklists Across the Tiers
Training Satisfaction Surveys
100 100 100
95
91
95 96 96 94
89
100 100
88
97 100 100 100 100 100 99
0
20
40
60
80
100
SY 14 Professional Learning Events:
% Highly Satisfied and Satisfied
Annual Acknowledgements
Annual Report
STATE LEVEL
Trainers/State
TAs
How does the State use Data Tools
to Support Schools?
Data:
• State Data Day Meetings
• Design and Develop
Professional Learning
Calendar
• TA and Coaching Assignments
• Annual PBIS Forum
State Team Data Day Meetings
1764
155
5785
4534
3112
286 216 182
869
137
629
6127
337 375
0
1500
3000
4500
6000
# of ODRs by Problem Behavior SY 15
as of 4-14-15
Top Two Problem Behaviors in VT
Professional Learning Calendar
State TA and Coaching Assignments
Annual VT PBIS Leadership Forum
• How State efforts have helped Burlington
Schools?
– Knowledge of State critical
– Rapid response time great
– Regional training and offerings coincide with
needs in BSD and statewide
– Cascade of Support
What are PBIS Outcomes in VT?
Increase In:
What did VTPBiS Schools Recognize Themselves for in 2013-2014?
What are PBIS Outcomes in VT?
1.4
3.6
4.5
0
1
2
3
4
5
Exemplar Non-Exemplar All VT Schools
Average OSS/100 Students/Day SY 14
Decrease In Time Out of School:
What are PBIS Outcomes in VT?
Decrease In Time Out of the Classroom:
1.5
0.8
0.7
0.6
0.9
0.8
0.7 0.7
0.8 0.8
0.7
0.9
0.6
0.5 0.5
44 5 22 3 145 5 23 4 251 4 23 3 3
Elementary Middle PreK-8 High PreK-12
Average ODR/100 Students/Day by Grade
(# of Schools at Bottom of Each Bar)
SY 12 SY 13 SY 14
Flynn Elementary School
600 ODRs
25 days
lost
198 ODRs
8.3 days lost
Example Vermont elementary school with 195 students:
67% improvement
16.7 days of
administrative and
instructional time
saved!
Sustainability efforts include….
• A more focused use of data in allocating
resources for PBIS support and professional
learning;
• Intentional data integration of behavior and
academics within multi-tiered system of
supports; and
• Continued allocation and use of BEST/Act 230
Funds to improve professional learning around
Data
PLEASE VISIT US:
www.pbisvermont.org
THANK YOU!
Questions/Comments?
www.pbisvermont.org
http://education.vermont.gov/
Contact Info:
Jim Drown, BSD – Jdrown@bsdvt.org
Josh Souliere, VT AOE – Josh.Souliere@state.vt.us
Cassandra Townshend, UVM – Cassandra.Townshend@uvm.edu

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NEPBiS Presentation 2015 - DATA -FINAL

Editor's Notes

  1. One cow to every 4 people. Also home of Ben and Jerry’s!
  2. Local Control HUGE
  3. 3 million fewer people on double the land!
  4. 128 VTPBiS Schools after the Summer Institute!
  5. 5 Components of MTSS cuts across Data, Systems and Practices
  6. Increase % of BoQ Scores overtime in Expectation Developed, Classroom Plan (rules identified, taught and acknowledged) and Reward/Acknowledgment program.
  7. To assess your leadership team for continuous improvement To assess your fidelity of implementation for identifying needed systems changes To problem-solve around school-wide and individual outcome data To garner staff perceptions about status of PBIS and their priorities for improvement To communicate outcomes to staff, students, families, community, etc.
  8. Talk about establishing consistent decision rules…..
  9. Introduce Jim to discuss TIPS in his District…..
  10. Leadership Team uses the TIPS process at monthly meetings Targeted Student Level Team uses CICO reports (and other data) Leadership Team at Fall Data Day uses: Leadership Team Self Assessment Administrator Self Assessment BoQ or BAT for fidelity of implementation SWIS to determine systems focus SWIS to identify problems and solutions Leadership Team at Spring Data Day uses: Leadership Team Self-Assessment BoQ or BAT Self Assessment Survey (SAS) - staff perception data VTPBiS Action Plan for Sustainability to be ready for next year
  11. We didn’t do across the years but this may be useful when reporting back to your staff. “What’s the State of Your School”