Recent research has demonstrated that elementary school leaders, under pressure to meet benchmarks set by state and federal governments, have begun "staffing to the test," moving to tested grades and subjects teachers whose previous students made substantive learning gains. This is particularly true in lower-performing schools or schools…

Increasingly, states and districts are combining student growth measures with rigorous, rubric-aligned teacher observations in constructing teacher evaluation measures. Although the student growth or value-added components of these measures have received much research and policy attention, the results of this study suggest that the data generated…

School districts increasingly push school leaders to utilize multiple measures of teacher effectiveness, such as observation ratings or value-added scores, in making talent management decisions, including teacher hiring, assignment, support, and retention, but we know little about the local conditions that promote or impede these processes. We…

Teacher and student sorting within and between schools has historically garnered national attention and controversy. Scholars have recently examined how school leaders make data-driven decisions to create more equitable schools, particularly through teacher and student assignment practices. School leaders use student test scores to strategically…

Current federal legislation holds schools accountable for ensuring that all students, including those with disabilities, make adequate yearly progress on academic achievement measures, while also including students with disabilities in general education settings whenever possible. Schools are thus expected to be both excellent and equitable in…

There is evidence that school leaders are using test score data for decisions about everything from the curriculum to what is served for lunch. Research suggests that staffing too is data-driven, with principals using test score data to hire, assign, and develop their teachers. Semi-structured interviews with principals and other school actors in…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

This report documents how four state education agencies are supporting local data-driven decisionmaking through their policies, practices, and programs for creating data systems, improving data access and use, and building district and school capacity to use data. Specifically, this report, responding to District of Columbia Office of State…

This report documents how four state education agencies are supporting local data-driven decisionmaking through their policies, practices, and programs for creating data systems, improving data access and use, and building district and school capacity to use data. Responding to District of Columbia Office of State Superintendent of Education 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…

The authors describe the University of Central Florida's top-down/bottom-up action analytics approach to using data to inform decision-making at the University of Central Florida. The top-down approach utilizes information about programs, modalities, and college implementation of Web initiatives. The bottom-up approach continuously monitors…

"Building Institutional Capacity for Data-Informed Decision Making" is the third installment of the Cutting Edge series, which aims to help colleges engage faculty, scale successful interventions, and create a strong culture of evidence through use of data to strengthen their institutional change and student success efforts. Though the…

One question frequently arises in the work of the Regional Comprehensive Centers: "What are states, districts, and schools doing about RTI?" This document addresses that question, with particular focus on instruction and the implementation of effective practices. It uses a frequently asked questions (FAQs) format, with answers based on…

Now that all 50 states and the District of Columbia are building statewide longitudinal data systems, the next step is to ensure that the information in these systems is used to improve student learning. The Data Quality Campaign (DQC) has identified 10 actions that states can take to ensure that the right data are available and accessible and…

The federal No Child Left Behind Act and its mandate for adequate yearly progress has placed unprecedented demands on districts to use evidence to support their school improvement efforts. Research has not yet determined if data-driven decision making leads to improvements in teaching and learning since most outcomes reported to date are based on…