This module provides an overview of how to use informal diagnostic data to individualize academic intervention. The module is intended to help educators learn how to use practical and efficient approaches to collect and analyze data and develop a hypothesis about why a student has not yet responded to an interventionAt the end of the training participants will be able to:

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.

This brief offers recommendations to support educators to efficiently collect, analyze, and use diagnostic data to adapt or intensify intervention.

This online course helps educators learn how to set goals, collect data, and make decisions using academic progress monitoring data.

This course is the second in a series on progress monitoring. This module describes two types of academic progress monitoring measures and considerations for selecting an academic progress monitoring tool.