Collected Biannually since 1968, the Civil Rights Data Collection (CRDC) represents the U.S. Department of Education's most substantial effort to understand data related to students' educational opportunities throughout K-12 schooling, particularly for historically marginalized student populations. Due to the COVID-19 pandemic, the Department…

Students with extensive support needs (ESN), most of whom are taught in separate settings by special educators without extensive academic preparation, have difficulty making progress in the general education curriculum. Although there is evidence that data-based decision-making improves achievement for a wide range of students, there is little…

In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…

The DaSy Center supports all 56 U.S. states and territories and provides individualized and cross-state technical assistance (TA) on data linking and integration. Early intervention (Part C) and early childhood special education (Part B 619) state programs are interested in linking their data to address critical questions about program quality in…

Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…

Writing is a critical academic and life skill, but many school-age children struggle with the complexity of written expression. Given the importance of writing, there is a clear need for a systematic approach to identifying and supporting struggling writers, including writers with learning and emotional disabilities. One such approach is known as…

High-Leverage Practices (HLPs) are a deceptively simple concept in the field of education. On the one hand it is amazing to have a list of key practices that all teachers should learn and be able to implement when teaching students of all backgrounds and ability levels, including those with disabilities. On the other, teaching is rarely simple,…

College and career readiness is crucial to success in postsecondary education, employment, and independent living. The College and Career Readiness for Transition (CCR4T) assessment is valid and reliable and can assist in transition planning for students with disabilities. The CCR4T assessment was designed for planning with students with and…

This guide provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. (This guide uses the term "state and local" to refer to all of these levels.) Collecting and analyzing qualitative and quantitative…

Since 2013, DaSy has tracked the status of Part C and Part B 619 state data systems to understand states' technical assistance needs, provide stakeholders with a national picture of what capacities state data systems have, and to track how those capacities are changing over time. Most recently, in spring of 2021, DaSy collected comprehensive…

While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…

In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…

Data-based instruction (DBI) is a process of collecting and using student progress data to guide decision-making related to intervention intensity and individualization for students with learning disabilities (LD). However, effective DBI requires that teachers have a range of knowledge and skills across multiple domains. Past research has shown…

Schools that employ evidence-based multi-tiered system of supports (MTSS) frameworks, like Positive Behavioral Interventions and Supports (PBIS), invest in core system, data, and practice features to support students, families, and educators. A strong framework enables settings to enhance and adjust their implementation to meet the needs of all…

There is evidence that data-based decision-making (DBDM) can improve outcomes for a wide range of students. However, less is known about how special education teachers are trained to use data to inform instruction that targets academic progress for students with extensive support needs (ESN). The purpose of this systematic literature review was to…