This webinar presented by Dr. Lou Danielson, Michele Walden-Doppke and Nicole Hitchener describes contextual factors that can support or impede the implementation of intensive intervention. Presenters discuss lessons learned about critical infrastructure elements and practices that were identified through NCII’s work with school sites, and provide an example from a Rhode Island district.
This webinar, led by Drs. Lynn Fuchs and Lee Kern addresses a challenge faced by many teachers: feeling inundated by data while struggling to find useful information to guide intervention decision-making
This webinar, presented by Laura Magnuson, a technical assistance provider for NCII, provides an overview of the rationale and purpose for secondary or Tier 2 interventions.
This webinar presented by Dr. Daniel Maggin, shares methods for collecting behavioral data, procedures for examining behavioral data, and discusses using behavioral progress monitoring to make programming decisions.
This webinar presented by Dr. Rebecca Zumeta Edmonds, discusses various approaches to progress monitoring, focusing on the value and implications of using progress monitoring to track the growth of students with intensive academic needs. Dr. Zumeta Edmonds walks through the steps of the process for using progress monitoring data to make instructional decisions for individual students.
This webinar, presented by Dr. Lynn Fuchs, is the third in the series of webinars on RTI and learning disability identification. In this webinar, Dr. Fuchs discusses decision making in RTI, specifically, how to determine responsiveness to secondary prevention.
In this webinar, Dr. Amy Elledge provides an overview of the process of data-based decision making and the different types of decisions that can be made with screening and progress monitoring data in order to identify students in need of additional instruction and assessment, evaluate the effectiveness of the core curriculum, allocate resources, evaluate the effectiveness of instruction and interventions for specific populations, and identify students for special education evaluation.