This Excel tool is designed to help educators collect academic progress monitoring data across multiple measures as a part of the data-based individualization (DBI) process. This tool allows educators to store data for multiple students (across multiple measures), graph student progress, and set individualized goals for a student on specific measures.

This fourteen minute video, developed by NCII in partnership with the Wyoming Department of Education and staff and students from Laramie County School District # 1, shares Wyoming’s journey in building the capacity of educators to implement data-based individualization (DBI) to improve academic and behavior outcomes for students with disabilities as part of their state systemic improvement plan (SSIP).

Since 2011 the National Center on Intensive Intervention (NCII) has worked to build the capacity of state and local education agency personnel, university faculty, practitioners and other stakeholders to support the implementation of intensive intervention in reading, mathematics, and behavior for students with severe and/or persistent learning and behavioral needs.

NCII, through a collaboration with the University of Connecticut and the National Center on Leadership in Intensive Intervention and with support from the CEEDAR Center, developed course content focused on enhancing educators’ skills in explicit instruction, intensive mathematics intervention, behavior support and intensive reading intervention.

The National Center on Intensive Intervention (NCII) developed this self-paced module to increase users' knowledge of intensive intervention and data-based individualization (DBI). The module defines intensive intervention and DBI, describes how intensive intervention fits within a tiered system such as MTSS, RTI, or PBIS, demonstrates how intensive intervention can provide a systematic process to deliver specialized instruction for students with disabilities, and includes two case examples to allow viewers to apply new knowledge.

The Behavior Progress Monitoring Tools Chart is comprised of evidence-based progress monitoring tools that can be used to assess students’ social, emotional or behavioral performance, to quantify a student's rate of improvement or responsiveness to instruction, and to evaluate the effectiveness of instruction. The chart displays ratings on technical rigor of performance level standards (reliability and validity) and growth standards (sensitivity and decision rules) and provides information on the whether a bias analysis was conducted, and key usability features.

The Academic Progress Monitoring Tools Chart is designed to assist educators and families in becoming informed consumers who can select academic progress monitoring tools that best meet their individual needs. The Center's Technical Review Committee (TRC) on Progress Monitoring independently established a set of criteria for evaluating the scientific rigor of progress monitoring tools. The TRC rated each submitted tool against these criteria but did not compare it to other tools on the chart.

Successful implementation of a multi-tiered system of supports (MTSS) and, specifically, intensive intervention through the data-based individualization (DBI) process, demands the collection and analysis of data. As teams consider data collection, challenges may occur with assessment administration, scoring, and data entry (Taylor, 2009). This resource reviews three data collection and entry challenges and strategies to ensure data about risk status and responsiveness accurately represent student performance and minimize measurement errors.