In this webinar, Drs. Sarah Powell and Alison Hardy present a step-by-step process for analyzing errors in a student’s mathematics work and demonstrate how educators can use information from error analysis to make data-informed decisions about how to intensify instruction and better align intervention supports with individual student needs.

This tip sheet provides an overview of how to analyze errors in math to help inform instructional decisions

In this webinar, presenters shared practical strategies to help educators use data-based decision making to improve the math outcomes for students.

This training module provides an overview of how to use informal diagnostic data to individualize academic intervention.

This handout provides an overview of three common decision rules educators can use to analyze academic progress monitoring data.

These training materials are best suited to support individuals with progress monitoring experience who want to improve their analysis skills for evaluating student growth. 

These training materials are best suited to support individuals with progress monitoring experience who want to deepen their knowledge, particularly those who want to learn about setting appropriate goals. 

These training materials are best suited to support individuals who have a foundational understanding of progress monitoring and want to determine what progress monitoring measures will work best for their students. 

These training materials review the essentials of academic progress monitoring and describes how to effectively integrate progress monitoring within the data-based individualization (DBI) process.

This course collection provides a guide to available NCII courses self-paced learning courses that focus on academic progress monitoring.