This video illustrates the use of manipulatives to help students integrate the concept of counting by ones with skill in grouping by tens.
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This video demonstrates how to use base-10 blocks to help students solve multiplication problems that cannot be solved with automatic retrieval.
This video illustrates how manipulatives can be used to show the relation between strategies for subtraction and addition.
This video illustrates the use of scaffolding with manipulatives to teach students to group objects by tens with counting by ones.
This webinar describes contextual factors that can support or impede the implementation of intensive intervention.
The purpose of this implementation guide from the National Center for Systemic Improvement is to help practitioners systematically implement effective coaching practices. This guide outlines key questions to consider when using coaching as a pathway toward improving teaching and learning. Further, the guide specifies actions that should be taken to appropriately structure the system in which coaching occurs. Consideration of these questions and completion of these actions may help coaching achieve its intended goals and become a sustainable component of the learning environment.
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 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 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.