Progress monitoring data are central to making informed decisions on intervention intensification for struggling learners. The general outcome measure (GOM) of curriculum-based measurement of oral reading fluency (CBM-R) has been found to correlate with high-stakes assessment; however, data are highly variable, resulting in decisions that must be…

Reading proficiency is fundamental to school success. However, up to 50% of students with reading disabilities are not making adequate progress. Students who demonstrate persistent and severe reading difficulties require increasingly intensive instruction individualized to meet their instructional needs Individualizing instruction with…

This article describes data-based individualization (DBI) as a continuous process connecting assessment and intervention in mathematics for students with disabilities. DBI provides teachers with an evidence-based method for individualizing interventions for students who do not demonstrate adequate response. Assessment data gathered through the use…

Programs serving infants and toddlers are expected to use child data to inform decisions about intervention services; however, few tools exist to support these efforts. The Making Online Decisions (MOD) system is an adaptive intervention that guides early educators' data-based intervention decision making for infants and toddlers at risk for…

Students with persistent and severe reading difficulties pose a significant challenge for educators. The primary purpose of this article is to provide a detailed demonstration of data-based individualization (DBI) implementation in the area of reading. Also provided are various resources a teacher may access to learn more about the instructional…

The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…

Alternative education (AE) programs and schools usually serve distinct populations of students with educational disabilities and mental health or other needs. AE program staff often employ a range of curricula, interventions, and strategies that form an eclectic approach to addressing student needs. This may result in practices that are…

It has been 10 years since No Child Left Behind (NCLB), with its emphasis on scientifically based instruction as a means for improving the educational outcomes of students, was signed into law. In this article, we review the basic tenets of evidence-based practice as they apply to education as well as the progress that has been made in…

In comprehensive, integrated, three-tiered models, it is essential to have a systematic method for identifying students who need supports at Tier 2 or Tier 3. This article provides explicit information on how to use multiple sources of data to determine which students might benefit from these supports. First, the authors provide an overview of how…

A seamless practice in most classrooms today is one of reading assessment as the tool that informs instruction. When data is used effectively, teachers can provide essential early intervention instruction to prevent reading difficulties from occurring. In most cases, data retrieved from various classroom assessments provide authentic student…

The most recent reauthorization of the Individual's with Disabilities Education Improvement Act (IDEA, 2004) allows for the expansion of occupational therapy's role in school-based practice to include students who have not been identified for special education through early intervening services such as response to intervention (RtI).…