Through three one-day data-informed decision-making professional learning events, division leadership teams will build on the work begun during the Exploration & Installation series. Teams will refine effective data meeting structures and develop an understanding of the DLT’s role in supporting school-based teams by providing access to data for problem-solving and implementation of evidence-based practices; develop systems that support staff in efficient implementation of instructional practices; and explore the process for selecting evidence-based practices for teaching academic, behavior, and mental wellness skills.

Learning intentions for Strand 1 Series:

  • Develop effective data-informed decision-making systems starting with the development of an integrated data dashboard (Matrix 2.A and 2.C) for division and school use.
  • Understand the DLT’s roles in supporting school based teams by providing access to data (Matrix 2.A), this allows the school based teams to implement TFI 1.12-1.14, 2.3, 3.9 and 3.14 and A-TFI 1.6B and 1.12A.
  • Develop effective data-informed decision-making systems that support adults in the efficient implementation of instructional practices for teaching academic, behavior and mental wellness skills (Matrix 2.B).
  • Understand the DLT’s role in supporting the SLT by providing a process for using data for decision making (Matrix 2.B), this allows the SLT to implement TFI 1.13 and 1.14, 2.11, 2.12, 3.14 and 3.15 and A-TFI 1.13.
  • Analyze and practice a process/tool for selecting evidence-based practices for teaching academic, behavior, and mental wellness skills (Matrix 3.C ).

We are also providing access to information and materials for Strand 1 from the 2018-2019 school year.

Session A

Division leadership teams will develop effective data-informed decision-making systems starting with the development of an integrated data dashboard and efficient data meeting structures for division and school use.

Learning intentions for Session A:

  • Complete data audit.
  • Develop action items within the implementation plan to provide division leadership team(s) and building-level teams with access to an integrated data dashboard (DCA #14 and 19) that includes fidelity AND student outcome data.
  • Integrate action items that include professional learning for SLT in the use of an integrated data collection system.
  • Select or revise a clear process for data-informed decision making with a focus on teaching and learning (DCA #15).
  • Apply a problem of practice to the established data-informed decision making process via case study and reflection.

Materials

Session B

Building upon Session A, Division Leadership Teams will assess their division’s progress in developing an integrated data dashboard, practice a clear process for data-informed decision making using data from their context, develop an action plan for providing professional learning and coaching at the school level, and analyze a “new” practice using the VTSS Selection of Evidence-Based Practices Too.

Learning intentions for Session B:

  • Self-assess progress with action items within the implementation plan to provide division lea(s) and building-level teams with access to an integrated data dashboard (DCA #14 and #19);
  • Practice a clear process for data-informed decision making with a focus on teaching and learning using their own data (DCA #15);
  • Develop an action plan for providing professional learning and coaching on the school level on the problem-solving process (based on readiness);
  • Analyze a “new” practice through the lens of the VTSS Selection of Evidence-Based Practices Tool and compare the process to standard methods for selecting new practices.

Materials

Session C

Division Leadership Teams will assess their progress with action items within the Division Implementation Plan; continue practicing a clear process for data-informed decision making; present a “problem of practice” from their context to a group of “critical friends”, soliciting feedback to strengthen the work in their division; and analyze the data-informed decision-making process for components of the VTSS Implementation Logic.

Learning intentions for Session C:

  • Self assess progress with action items within the implementation plan to provide division leadership team(s) and building-level teams with access to an integrated data dashboard (DCA #14 and 19) that includes fidelity AND student outcome data.
  • Practice a clear process for data-informed decision making with a focus on teaching and learning (DCA #15) using their own data.
  • Present a “problem of practice” to the group soliciting help from “critical friends” to strengthen the work of the division.
  • Analyze the data-informed decision-making process for components of the implementation logic.

Materials