This training module demonstrates how academic progress monitoring fits into the Data-Based Individualization (DBI) process by (a) providing approaches and tools for academic progress monitoring and (b) showing how to use progress monitoring data to set ambitious goals, make instructional decisions, and plan programs for individual students with intensive needs.

This is part 3 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide participants with an introduction to error analysis of curriculum-based measures for the purpose of identifying skill deficits and providing examples of error analysis in reading and mathematics. Part 4, “Identifying Target Skills,” will further link these skill deficits to intervention.

This updated training module provides a rationale for intensive intervention and an overview of data-based individualization (DBI), NCII’s approach to providing intensive intervention. DBI is a research-based process for individualizing validated interventions through the systematic use of assessment data to determine when and how to intensify intervention.  Two case studies, one academic and one behavioral, are used to illustrate the process and highlight considerations for implementation. 

This is part 2 of the module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part includes examples of graphed data and is intended to provide participants with guidance for reviewing progress monitoring data to determine if the instructional plan is working or if a change is needed. 

This is part 1 of the larger module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part is intended to provide an overview of common general outcome measures (GOM) used for progress monitoring in reading and mathematics, with guidance on selecting an appropriate measure.

This training module, includes four sections that (a) provide an overview of administering common general outcome measures for progress monitoring in reading and mathematics, (b) review graphed progress monitoring data, and (c) provide guidance on identifying what type of skills the intervention should target to be most effective in reading and mathematics.

This module focuses on behavioral progress monitoring within the context of the DBI process and addresses: (a) methods available for behavioral progress monitoring, including but not limited to Direct Behavior Rating (DBR), and (b) using progress monitoring data to make decisions about behavioral interventions.

This is part 4 of the module, “Informal Academic Diagnostic Assessment: Using Data to Guide Intensive Instruction.” This part of the module is intended to provide participants with guidance for identifying skills to target in reading and math interventions.

The CEEDAR Center has designed a Course Enhancement Module (CEM) on Classroom and Behavior Management which is designed to support participants in gaining an understanding of assessment tools and intervention practices that can be integrated within a comprehensive, evidence-based behavioral intervention program. The multi-part module covers universal, supplemental, and intensive supports including supports for students with intensive behavioral needs. The CEM, particularly as it relates to intensive intervention, includes content adapted from NCII.

The CEEDAR Center has designed a Course Enhancement Module (CEM) on Evidence-based Reading Instruction K-5 which is designed to support participants in gaining an understanding of assessment tools and intervention practices that can be integrated within a comprehensive, evidence-based reading intervention program. The multi-part module covers universal, supplemental, and intensive supports including supports for students with intensive reading needs. The CEM, particularly as it relates to intensive intervention, includes content adapted from NCII.