Home visiting connects expectant parents, new caregivers, and their young children with a support person, called a home visitor. The home visitor meets regularly with the family, develops a relationship with them, and supports them to achieve their goals and meet their needs. To reach the thousands of additional families who could benefit from…

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…

There is strong evidence that children who attend high-quality pre-kindergarten (pre-K) programs learn skills that benefit them in school and life. The price tag of most private programs puts them out of reach for some families, however. In response, many states and school districts fund pre-K programs to expand opportunities for their youngest…

States and localities throughout the United States are expanding their investments in pre-kindergarten (pre-K) programs. Although spending on publicly funded pre-K programs is well documented, relatively less is known about the true cost to deliver the programs, especially considering varying quality standards and accounting for the resources used…

Tutorials for EXperimentalisT Interactive LEarning (TEXTILE) is an interactive semi-linear module-based curriculum for training students at various educational levels on data science methodologies currently utilized by research laboratories. We show how we developed our eleven module TEXTILE program to train 15 students from high school,…

In general, data governance refers to the overall management of the availability, usability, integrity, quality, and security of data. A sound data governance program includes a governing body or council, a definition and allocation of authority, a defined set of procedures, and a plan to execute those procedures. This brief offers best practices…

Integrated data systems are often used to inform decision making at the top tiers of local or state government. Policymakers use analyses based on large numbers of integrated data system (IDS) records (from which personal identifying information has been removed) to understand the overlap between cases that receive services from different systems…

The "Self-Assessment and Program Review" (SAPR) was developed to provide an assessment tool that schools could use to track their progress in implementing key practices related to all three levels of schoolwide positive behavior supports (SWPBS). The SAPR is a team-based assessment tool, using both individual and team ratings of 10…

In the tug-of-war between researchers and IT for supercomputing resources, a centralized approach can help both sides get more bang for their buck. As 2010 began, the University of Washington was preparing to launch its first shared high-performance computing cluster, a 1,500-node system called Hyak, dedicated to research activities. Like other…

The authors report an empirical pilot study of current models of elementary science instruction that utilize science specialists, and make a call for the participation of schools and districts that use a specialist model to assist in collecting the descriptive data needed to create the foundation for future research on the use and impact of…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…

This report summarizes the findings and describes the products of a 2-part research project that examined the parameters of Washington's interlibrary loan cooperation statewide, and developed a set of computer models to be used in simulation studies of associated activities and policies. It contains a statement of the problem; an historical…

Longitudinal student unit record (SUR) data can be used to answer many important questions about student progression. This guide shows researchers how to use longitudinal SUR data to identify different student groups among first-time community college students, calculate rates of attainment of milestones and momentum points for each group, and…

Governors and state and local education officials assumed that raising student achievement in the elementary and middle grades would solve the problems with high schools--but it hasn't. Why? Good information is the basis for successful improvement, and high school reform lacks accurate information about what students are to learn and about how…

Response to intervention (RTI) can be both a system for providing early interventions to struggling students and a special education diagnostic tool for evaluating and identifying students with specific learning disabilities. Contributing to the very limited literature on state-level approaches, this report describes how nine states define and…