In this video, Sandra Chafouleas, Professor of Educational Psychology in the Neag School of Education at the University of Connecticut, discusses the importance of progress monitoring in behavior and how it differs from screening and diagnostic assessment.
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In this video, Michelle Hosp, Associate Professor in the College of Education at the University of Massachusetts Amherst discusses why your progress monitoring tool may not directly focus on the skills that you are teaching.
Why do we need to ensure we have multiple parallel or equated forms when measuring student progress?
In this video, Lee Branum-Martin, Associate Professor at Georgia State University explains why we need to ensure we have multiple parallel or equated forms when measuring student progress.
In this video, Dr. Devin Kearns, an Assistant Professor of Special Education in the Department of Education Psychology at the Neag School of Education at the University of Connecticut and NCII Trainer & Coach, discusses things to consider when selecting an academic progress monitoring tool.
In this video, Sarah Powell, Assistant Professor in the Department of Special Education at the University of Texas at Austin, discusses key considerations when teaching students with math difficulty.
In this video, John M. Hintze, Professor in the Department of Student Development at the University of Massachusetts Amherst explains why it is important to consider whether an assessment is biased against a specific sub-group.
Module 5 begins a series of modules on the topic of explicit instruction. Explicit instruction is about modeling and practicing to help students reach academic goals. Throughout the module, educators will learn how selecting an important objective and learning outcomes, designing structured instructional experiences, explaining directly, modeling the skills being taught and providing scaffolded practice to achieve mastery can be used within the DBI framework to support instruction.
Module 7 is the third in a set of four course modules focused on explicit instruction. This module focuses on providing immediate specific feedback and maintaining a brisk pace. Throughout the module, educators will learn how eliciting providing immediate specific feedback and maintaining a brisk pace support instruction within the DBI framework.
This video from the REL Midwest features Michigan educators discussing how districts can accelerate reading growth for young learners. Educators and leaders from Chippewa Hills School District, specifically discuss the use of data-based individualization (DBI).
English learners (ELs), as defined by the Elementary and Secondary Education Act, are individuals enrolled in school between the ages of 3 and 21 whose native language is not English. Although ELs are categorized under a single, homogeneous label, they represent a diverse population of students with wide-ranging cultural experiences, native and second-language proficiencies, and varying degrees of subject matter knowledge (Vaughn et al., 2019). Delivering intensive intervention for ELs involves consistent attention to students’ language development, culture, and academic and behavioral needs throughout the DBI process. Supporting ELs with intensive needs depends on an educator’s
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