Participants will engage in a process of data-based decision making to enhance student success across academic, social, emotional, and behavioral domains. Teams will learn to effectively utilize a variety of disaggregated data sources (including universal screening, progress monitoring, diagnostic, fidelity, formative assessment and state summative assessments) to inform the health of Tier 1, identify who needs support, and determine what types of interventions are required.

This introductory series incorporates resources, such as the MnMTSS Team Guidebook and MnMTSS DataBased Decision-Making Model and equips teams to bring this cycle of informed decision-making to their district and school in order to strengthen educator support, refine policies, and improve instructional approaches to meet the diverse needs of all students.

Ideal for District and/or School Leadership Teams

Virtual Statewide - 3 Sessions - Wednesdays 12-3 PM

2/25/26

3/25/26

4/22/26