The prevalence of students with visual impairments varies across the United States, yet limited analysis exists on how many students receive special education services. The following study collected population data on students with visual impairments for the 2017-2018 school year and ran focus groups with state-level administrators to understand…

Numerous evidence-based programs (EBPs) exist for delivery in schools to promote youth mental health outcomes. However, school systems often lack the internal infrastructure to support the effective implementation and sustainment of EBPs when external supports are withdrawn, resulting in notable attenuation in the benefits in youth clinical…

As part of its Partnership for Pre-K Improvement (PPI) initiative, the Bill & Melinda Gates Foundation sponsored the RAND Corporation to study the cost of high-quality pre-K programming. The RAND study included three states--Oregon, Tennessee, and Washington--that were partnering with the foundation under PPI. The objective of the study was to…

This data point highlights reporting requirements in state policy regarding the use of suspension and/or expulsion. At least 39 states and the District of Columbia outline reporting requirements for the use of suspension and/or expulsion in statute or regulation. At least 11 states have reporting requirements that are specific to certain types of…

In "Understanding Pandemic Learning Loss and Learning Recovery: The Role of Student Growth & Statewide Testing" we show how states, with spring 2021 assessment data together with student growth results derived from it, are positioned to address critical questions regarding academic learning loss. Answers to these questions, together…

Since near the very beginning of electronic computing, Monte Carlo particle transport has been a fundamental approach for solving computational physics problems. Due to the high computational demands and inherently parallel nature of these applications, Monte Carlo transport applications are often performed in the supercomputing environment. That…

Introduction: Planned missing designs are relatively new to the field of psychological and developmental research. These designs allow researchers to randomly assign participants to missing data conditions; participants are either randomly selected to receive or not receive particular measures or items during data collection (Little &…

This chapter identifies some of the challenges surrounding data collection and analysis regarding development students, including testing and identifying academic needs, placement determination, and measuring student outcomes.

This report presents school-level finance data on expenditures by function from the School-Level Finance Survey (SLFS). The SLFS is an extension of two existing collections being conducted by the National Center for Education Statistics (NCES) in collaboration with the Census Bureau: the School District Finance Survey (F-33) and the state-level…

This study explores the complexities of qualitative fieldwork and unpacks the fieldwork dynamics drawing on critical reflections based on the experiences of interviewing primary level teachers in exploring their identities. I argue that qualitative fieldwork is not a one-shot, linear activity but a negotiated and relational task requiring a…

This paper introduces a Patron Counting and Analysis (PCA) system that leverages Wi-Fi-connection data to monitor space utilization and analyze visitor patterns in academic libraries. The PCA system offers real-time crowding information to the public and a comprehensive visitor analysis dashboard for library administrators. The system's…

Students often struggle to interpret graphs correctly, despite emphasis on graphic literacy in U.S. education standards documents. The purpose of this study was to describe challenges sixth graders with varying levels of science and mathematics achievement encounter when transitioning from interpreting graphs having discrete independent variables…

Accountability and rigor in teacher education have been the focus of recent policy initiatives. Thus, data use practices have become increasingly critical to informing program improvement. Educational researchers have established self-study as a research methodology to intentionally be used by teacher educators to improve their practice. The…

Previous studies on the effectiveness of virtual laboratories for learning have shown inconsistent results over the past decade. The purpose of this research was to explore the effects of a virtual laboratory and meta-cognitive scaffolding on students' data modeling competences. A quasi-experimental design was used. Three classes of eighth graders…

Home visiting programs typically collect sensitive information about family characteristics, risk factors, and services received. States may choose to integrate these data with other early childhood data to learn more about the reach and effectiveness of the services and supports that families receive. As more states begin to integrate data across…