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 Division Implementation Team’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.
In this session, Division Implementation Teams will develop an effective data-informed decision-making process starting with identifying the data sources needed for the development of an integrated data dashboard and efficient data meeting structures for division and school use.
Intended Audience: Cohort 7 division teams and any Cohorts 1-6 division team that needs to revisit the DIDM strand
Learning intentions:
- Develop team meeting foundations for effective decision making;
- Complete a data audit for successful implementation;
- Develop action items for an implementation plan that provides division and building leadership teams with access to an integrated data dashboard that includes fidelity AND student outcome data;
- Analyze data to identify area(s) of focus for problem solving
- Select or revise a clear process for data-informed decision making with a focus on teaching and learning
Materials
Intended Audience: Cohort 7 division teams and Cohorts 1-6 division teams who have identified data-informed decision making as a continued area for growth.
Learning Intentions:
Building upon Session A, Division Leadership Teams 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 Tool.
Materials:
Division Leadership Teams will share/assess their progress with action items within the Division Implementation Plan; continue practicing a clear process for data-informed decision making; and present a “problem of practice” from their context to a group of “critical friends,”, soliciting feedback to strengthen the work in their division
Learning Intentions
- 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.
Materials
If alternative formats of these document are needed, please contact Ryan McElhaney at mcelhoneyrj@vcu.edu