Data-Informed Decision Making for Schools
The Virginia Tiered Systems of Support (VTSS) is excited to offer a full day of training around Data-Informed Decision Making for school-based teams. This event is centered around developing a common understanding of what a Data-Informed Decision Making (DIDM) process is, how to facilitate this process, and the importance of a data-analyst on your team. As a school-based team you leave this day having worked through identifying your schools biggest challenge areas, they “why” behind these areas, and the potential gaps in data you need to collect. You will practice writing a precision problem statement, creating goals, selecting interventions, and developing action plans.
DIDM for Schools Professional Learning event will be the most effective if entire school-based MTSS teams can attend. While whole teams are preferred we also understand the difficulties in achieving this. In order for this training to be meaningful a minimum of an administrator (someone with access to data sets), the school MTSS coach, and another school team member should attend as a group. There will be multiple opportunities for extended work time throughout the day with the goal of an actionable product created and ready for attendees to take back and work on during the coming school-year.
Who should attend?
DIDM for Schools Professional Learning event will be the most effective if entire school-based MTSS teams can attend. While whole teams are preferred we also understand the difficulties in achieving this. In order for this training to be meaningful a minimum of an administrator (someone with access to data sets), the school MTSS coach, and another school team member should attend as a group. There will be multiple opportunities for extended work time throughout the day with the goal of an actionable product created and ready for attendees to take back and work on during the coming school-year.
Learning Intentions:
1. Identify teaming needs, such as a dedicated data analyst, to help disaggregate and identify necessary data for behavioral and academic improvement.
2. Recognize the critical elements of an integrated and aligned data system that allows “real time” access to data necessary for decision making.
3. Explain what data-informed decision making is and how it guides teams into problem solving.
4. Analyze current systems for data collection and identify the opportunities for enhancing the school-wide system for aggregating data to inform instructional decisions.
5. Reflect on current problem solving process in order to identify successes and opportunities for a more efficient and effective system for continuous improvement that is utilized school wide.