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Data-Driven Equity Decisions that are Out of this World

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Colorado Convention Center, Bluebird Ballroom Lobby, Table 8

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Presenters

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Research Associate/Training Team Lead
PBIS Applications - University of Oregon
Dr. Alan Cook currently works within the Educational and Community Supports (ECS) research unit in the College of Education at the University of Oregon, which provides support to over 25,000 educational organizations around the world who are implementing Positive Behavioral Interventions and Supports (PBIS). has worked to mentor teachers just starting out in the field and thoroughly enjoys helping educators find the spark that excites them about their craft. He recently completed his doctoral studies at the University of Oregon and his areas of interest are professional development, classroom management, special education, equity, inclusion, and online course creation.

Session description

This poster session will provide a broad-scale rationale for data-driven equity discussions and opportunities to build skills while playing a space-themed game. Participants will have access to an online folder with all game components.

Purpose & objective

Explore issues of equity and inclusion related to MTSS data-based decision making.

Practice recognizing potential equity-related issues using the example of SWIS (ODR) equity reports.

Discuss approaches to shared vulnerable decision points.

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Outline

Aggregated ODR patterns pinpoint contexts that staff perceive as problematic socially or behaviorally. Individual or shared cultural biases often impact staff perceptions and lead to inequities across student demographic groups.

Disaggregating patterns of incidents across the staff may reveal specific vulnerable decision points (VDPs) where bias is influencing perceptions (McIntosh, et al, 2018).

Disaggregating incidents by historically vulnerable demographic group (e.g., race/ethnicity, IEP status, gender, language) reveal potential VDPs that are shared across staff that may be improved through system-level changes.

Custom reporting can be used to further analyze for specific demographic groups what contexts, behaviors, and staff actions are disproportionate, compared to peers.

This session will provide a broad-scale rationale for data-driven equity discussions and provide opportunities to practice analyzing ODR data through the lens of equity and inclusion.

After introductions, there will be a brief section setting the foundations for equity and disproportionality in school discipline. We will then look at various data points to create precise problem statements and the session will end by playing the "Out of this World" space game.

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Supporting research

https://www.pbis.org/resource/a-5-point-intervention-approach-for-enhancing-equity-in-school-discipline

https://www.pbis.org/resource/using-discipline-data-within-swpbis-to-identify-and-address-disproportionality-a-guide-for-school-teams

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Session specifications

Topic:
Equity and inclusion
Grade level:
PK-12
Skill level:
Beginner
Audience:
Coaches, Principals/head teachers, Teachers
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Subject area:
Special education
ISTE Standards:
For Coaches:
Change Agent
  • Create a shared vision and culture for using technology to learn and accelerate transformation through the coaching process.
Data-Driven Decision-Maker
  • Assist educators and leaders in securely collecting and analyzing student data.
  • Support educators to interpret qualitative and quantitative data to inform their decisions and support individual student learning.
Disclosure:
The submitter of this session has been supported by a company whose product is being included in the session