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DASHBOARDS for district-level problem solving

DASHBOARDS for district-level problem solving

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DASHBOARDS for district-level problem solving

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  1. DASHBOARDS for district-level problem solving Julie Q. Morrison, External Evaluator Michigan’s Integrated Behavior and Learning Support Initiative Presentation at the SPDG National Meeting Washington, DC October 9-10, 2014

  2. Presentation Overview • The Context: MiBLSi and the Need for a Comprehensive, Interactive Database • The MiBLSi Database: Four Unique Features • The MiBLSi District Dashboard • The Process and Logistics of Developing a Dashboard

  3. The Context Michigan’s Integrated Behavior and Learning Support Initiative (MiBLSi) is funded by the Michigan Department of Education, Office of Special Education and Michigan’s State Personnel Development Grant from the U.S. Department of Education, Office of Special Education Programs.

  4. MiBLSi’s Mission Statement To develop capacity to scale-up an integrated behavior and academic MTSS model that can be implemented with fidelity, endures over time and utilizes data-based decision making at all levels of implementation support

  5. The MiBLSi Database The MiBLSi Database includes district dashboards that aggregate school-level information for use during problem-solving sessions.

  6. What are District Dashboards? District dashboards were built to align with a specific set of data analysis questions and action planning steps to help districts continuously improve implementation of MTSS to maximize positive student outcomes.

  7. What are District Dashboards? District dashboards were designed to streamline data collection and analysis so that teams can spend more time developing meaningful plans to identify celebrations and address areas of need.

  8. Four Unique Features of MiData Feature #1 Dashboards and reports are designed for alignment with MiBLSi’s data review process at the school, district, and ISD levels.

  9. Four Unique Features of MiData Feature #2 MiData offers a place to enter and analyze capacity and fidelity data not hosted in any other system.

  10. Implementation Fidelity and Systems Capacity Data Incorporated in MiData Implementation Fidelity Measures: • Planning and Evaluation Tool for Effective School-wide Reading Programs (PET-R) • School-wide Evaluation Tool for Secondary Literacy (SWEPT) • School-Wide Evaluation Tool for Reading-Self-Assessment (SWETR-S) System Capacity Measures: • District Capacity Assessment (DCA) • Intermediate Unit Capacity Assessment (IUCA)

  11. Four Unique Features of MiData Feature #3 MiData creates a single point of entry (school-level) that aggregates data up to the district, ISD, and state levels.

  12. Four Unique Features of MiData Feature #4 The MiData dashboards are based on principles for effective display of data and information processing, combined with repeated cycles of usability testing.

  13. The MiBLSi District Dashboard Tabs • Reach • Reading/Engagement • Behavior Outcome • Reading Fidelity • Behavior Fidelity • Capacity • Context

  14. Domain 1. Reach

  15. Domain 1. Reach

  16. Domain 2. Reading/Engagement

  17. Domain 3. Behavior Outcome

  18. Domain 3. Behavior Outcome

  19. Domain 3. Behavior Outcome

  20. Domain 4. Reading Fidelity

  21. Domain 4. Reading Fidelity

  22. Domain 5. Behavior Fidelity

  23. Domain 6. Capacity

  24. Domain 7. Context

  25. The Process and Logistics of Developing a Dashboard Usability Testing

  26. Contact Information Julie Morrison, Ph.D. University of Cincinnati College of Education, Criminal Justice, and Human Services School of Human Services, School Psychology Program E-mail: Julie.Morrison@uc.edu