Strand 1: Data-Informed Decision Making
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 ).
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
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
- Presentation - Session B
- Critical Friends Groups Purpose and Work
- Data-Driven Dialogue
- Data-Informed Decision Making Annotations
- Data-Informed Decision Making Tool
- DIDM Session B Workbook Cover
- Implementation Action Plan 2 Data-Informed Decision Making
- Implementation Matrix DIDM
- Resource Map Tier 1 Behavior Sample
- Selection of Evidence-Based Practices
- VTSS Tuning for Equity Protocol
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.