Data-based individualization (DBI) is a systematic approach to intensifying and individualizing interventions for students who require more support. Diagnostic data represent the third step in the DBI process. When progress monitoring data indicate that a student is not making adequate progress in an intervention, educators use diagnostic data to…

Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…

In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…

Learning Analytics and Multimodal Learning Analytics are changing the way of analysing the learning process while students interact with an educational content. This paper presents a systematic literature review aimed at describing practices in recent Multimodal Learning Analytics and Learning Analytics research literature in order to identify…

Secondary students with specific learning disabilities (SLD) can often demonstrate skill deficits and problem behaviors in general education classes. Teachers generally understand how to implement intensive interventions, yet may not know how to address skill deficits and off-task behaviors using a function-based approach or may encounter barriers…

The purpose of this study was to provide initial evidence of the effectiveness of Check-In/Check-Out-High School (CICO-HS) on high school student outcomes. Check-In/Check-Out-High School is a version of CICO, an established Tier 2 intervention designed to improve student academic and social behavior, adapted to increase effectiveness and…

Collecting data on behavior, academic skills, and Individualized Education Plan (IEP) goals is an essential step in showing student progress--but it can also be a complicated, time-consuming process. Take the worry and stress out of data collection with this ultra-practical resource, packed with the tools you need to organize, manage, and monitor…

This practice guide is an updated version of "Supporting and Responding to Behavior: Evidence-based Classroom Strategies for Teachers" (see ED619696) that replaces, rather than supplements, the first version. This guide summarizes evidence-based, positive, and proactive practices that support and respond to students' social, emotional,…

Students who are at risk for or show low-intensity behavioral problems may need targeted, Tier 2 interventions. Often, Tier 2 problem-solving teams are charged with monitoring student responsiveness to intervention. This process may be difficult for those who are not trained in data collection and analysis procedures. To aid practitioners in these…

Calvin is a student who will not stay in his seat. He calls out constantly. Calvin does not complete his class work, and his homework is rarely returned. Do you have a student like Calvin? Does he fail to turn in homework, or act disrespectfully toward teachers and peers? Easy to implement, the Daily Behavior Report Card is an empirically based…

Educational policies require the use of data and progress monitoring frameworks to guide instruction and intervention in schools. As a result, different problem-solving models such as multitiered systems of supports (MTSS) have emerged that use these frameworks to improve student outcomes. However, problem-focused models emphasize negative…

Self-management systematizes self-regulation strategies for learners with autism spectrum disorder (ASD) in order for learners with ASD to learn the rules and norms needed to act appropriately in a given situation. Self-regulation strategies can include self-monitoring, self-reflection, and adapting to a given context. Self-management is both a…

The West Virginia Board of Education (WVBE), recognizing the need for safe and supportive schools, revised its policy regarding student conduct. The result, "Expected Behaviors in Safe and Supportive Schools" (WVBE Policy 4373, effective July 1, 2012), put forth the behaviors expected of West Virginia's students; the rights and…

The purpose of the study is to determine what effects explicit and systematic math intervention instruction will have on student's performance on math assessments. The study will focus on a small group of fifth grade students that have been identified as needing targeted intervention (tier 2) and intensive interventions (tier 1) through the…

An increased emphasis on collecting and using data in schools has occurred, in part, because of the implementation of multi-tiered systems of support (MTSS). Commonly referred to as response to intervention in the academic domain and school-wide positive behavioral interventions and supports in the behavioral domain, these initiatives have a…