When a student struggles, how does your MTSS Problem-Solving Team decide precisely when to transition them into Tier 2 or Tier 3 interventions—and how do you know if those support plans are truly working? Effective data-based individualization (DBI) relies on objective, repeatable decision-making frameworks. This interactive virtual session equips problem-solving teams and school leaders with actionable tools to evaluate student trajectories, generate root-cause hypotheses, and confidently adjust interventions to drive meaningful student growth.
Key Session Highlights
-
Standardized Decision Rules: Establish clear, consistent rules for moving students across tiers to eliminate ambiguity and promote equity.
-
Trend & Goal Line Analysis: Evaluate key features of student performance by analyzing trend lines against benchmark goal lines over time.
-
Navigating Data Variability: Understand fluctuations in student data to accurately distinguish between real progress and temporary noise.
-
Data-Grounded Hypotheses: Practice formulating precise hypotheses based on diagnostic indicators to target underlying learning or behavioral barriers.
-
Methods for Intervention Intensification: Explore systematic strategies to intensify and adapt interventions when standard Tier 2 or Tier 3 supports plateau.
Take the guesswork out of tier transitions and empower your MTSS team with clear decision-making power. Register today to reserve your spot!
This is a virtual session, please come prepared with technology that will provide you the ability to have your camera on, engage in breakout room conversations and other virtual learning and processing activities.
If you have any questions, please contact us. We are happy to help!
Sincerely,
Michelle Candland, michelle.candland@esc20.net
Erika Guerrero, erika.guerrero@esc20.net