The Standards Assessment Inventory (SAI) has provided relevant, educator-level data helping systems of all kinds -- states, districts, schools, provinces, and organizations -- gather and track data about the professional learning their educators experience. An online, confidential, valid, and reliable instrument administered to school-based…

The recommendations in this brief create a framework for using data effectively to make instructional decisions. The availability of student-level data for educators has pushed forward the movement to strengthen the role of data to guide instruction and improve student learning. While improvements in technology and assessments, as well as recent…

All students deserve a great education, one that affords every opportunity for them to grow into knowledgeable and successful adults. To date, efforts to improve education have operated on a model of mass production, assuming--wrongly--that what works for some students must work for all. To change that model, students and their parents, teachers,…

K-12 education resources are often allocated non-strategically, with schools spending time and money on activities that have little relationship to student outcomes. Most of these decisions take place within districts, rooted in the processes of setting schedules, staffing levels, and assignments, and creating final budgets. Local Education…

Building on the research of National Board Certification and its effect on teacher quality, student achievement, and professional development, this dissertation seeks to explore the factors that influence teachers when it is time to renew their National Board Certification. Using a qualitative methodology, this study seeks to describe the process…

Launched in 2008, the Strategic Data Project, housed at the Center for Education Policy Research at Harvard University, seeks to bridge the divide between educational research and practice in order to transform the use of data in education to improve student achievement. Through the project, the authors build robust research partnerships with…

This study investigated the positive impact of a teaching practice on student learning outcomes in an online MBA program. An instructional project guideline was developed to help online students enhance their achieving required learning objectives corresponding to five categories of Bloom's Taxonomy. The course learning objectives are based on…

Communities face powerful challenges--a high-school dropout epidemic, youth unemployment, teen pregnancy--that require powerful solutions. In a climate of increasingly constrained resources, those solutions must help communities to achieve more with less. A new kind of community collaborative--an approach that aspires to significant,…

For nearly a decade, the demand for better education data has reverberated across the nation, fueled in part by concerns that the information used in education decision-making is incomplete and, in some cases, inaccurate. In response, millions of federal and state dollars have been invested over the last few years to design and build state-of…

Public school teachers are at the forefront of education in the United States; they must employ methods such as data-driven decision making (DDDM) to ensure that all students are learning. Quality decision making is vital in this age of accountability under the No Child Left Behind Act (NCLB) that includes mandated state testing such as the…

It is clear that families and communities play key roles in student achievement and school improvement efforts. Across the nation, states are leading initiatives to improve communication and engagement with these stakeholders through effective data sharing. Key points highlighted in this brief include: (1) Maintaining close ties with family and…

My dissertation utilizes an explanatory, sequential mixed-methods research design to assess factors influencing community college students' transfer probability to baccalaureate-granting institutions and to present promising practices in colleges and states directed at improving upward transfer, particularly for low-income and first-generation…

Data-driven decision making (DDDM), applied to student achievement testing data, is a central focus of many school and district reform efforts, in part because of federal and state test-based accountability policies. This paper uses RAND research to show how schools and districts are analyzing achievement test results and other types of data to…

In 2002, the RAND Corporation launched a project to understand how educators are responding to the new accountability requirements in California, Georgia, and Pennsylvania--three states that represent a range of approaches, regions, and student populations. The researchers aimed to identify the factors that enhance the implementation of SBA…

Describes the development of a microcomputer based management information system (MIS) for the DeKalb County Public Library. Data collection activities that determined system requirements and the evolution of a database design from those requirements are discussed, as well as plans to develop a generic public library MIS based on this model.…