Progress monitoring is an essential part of a multi-tiered system of supports (MTSS) and, specifically, the data-based individualization (DBI) process. It allows educators and administrators to understand whether students are responding to intervention and if adaptations are needed. In addition, these data are often used to set high-quality academic and behavioral goals within the individualized education program (IEP) for students with disabilities. With the closure of schools due to the COVID-19 pandemic, educators and administrators need to rethink how they collect and analyze progress monitoring data in a virtual setting. This collection of frequently asked questions is intended to provide a starting place for consideration.

The facilitating ongoing data team meeting documents can assist teams in ensuring that ongoing meetings for students receiving intensive intervention run smoothly. These tools are intended to support teams as they review student progress monitoring data after the initial intervention plan has been put in place and determine whether the student is making progress at an acceptable rate or if adaptations to the intervention plan are necessary. This suite of tools includes a sample agenda, facilitator guide, participant guide, and note taking template.  

The initial data team meeting documents can assist teams in facilitating an efficient and effective process for analyzing data and designing intensive intervention plans for students.

Before a student is referred for intensive intervention, it is important that the team get a holistic sense of the student, including relevant background information, current performance, current supports and previously attempted intervention(s), and other relevant data. These data meeting tools focused on preparing for the meeting ensure that team members are prepared to discuss students.

This tool is designed to help educators collect and graph 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 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 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.