Prioritizing social, emotional, and behavioral supports is essential for student success. By establishing systems to support students' social (how they interact), emotional (how they feel), and behavioral (how they act) needs and growth, educators and leaders can ensure that all students have full access to instruction and the essential skills for…

Data-driven decision making (DDDM) involves using information gathered from and about students to make ongoing decisions about their instruction. Many teachers struggle with implementation of DDDM practices to optimize instruction, underscoring the importance of teacher education vis-à-vis DDDM. The present study secondarily analyzed existing data…

For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…

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…

This action research takes place at a small, New England public school system in Hopkinton, MA, and was designed to build the capacity of educators by utilizing a cycle of inquiry to improve Data-Driven Decision Making. The action steps of this study established a building-based Student Learning Team at Hopkinton Middle School which, in…

An increasing number of high schools have adopted Tier 1 PBIS; however, implementation of advanced tiers of PBIS in high schools is less common and specific guidance is scarce. To address this need and better understand the level of support needed to successfully implement advanced tiers of PBIS at the high school level, the National Center on…

Since the introduction of the specific learning disability (SLD) classification in federal special education legislation, there has been considerable ambiguity and controversy about the criteria that should be used in the determination of SLD (Kavale & Flanagan, 2007; Zumeta et al., 2014). Various models have been introduced to identify…

Sixty-one educational leaders from a rural section of the Northeastern United States participated in this mixed-methods sequential explanatory study to determine the extent to which educational leaders felt knowledgeable and prepared to lead the implementation of multi-tiered systems of support (MTSS) in their schools. Despite educators' initial…

The use of data to track and manage progress is critical to a collective impact initiative achieving results or understanding impact. Yet, little research has been done to determine how collective impact practitioners can effectively use data. This article--including a literature review, semistructured interviews with experts on performance…

Reforms of the size and scale to which Race to the Top States have committed, require unprecedented planning, oversight and problem solving to implement. Although many factors influence the outcomes of these reform efforts, performance management is a key structural element in realizing "sustainable reforms" that are durable and…

For educator preparation programs (EPPs) to produce effective teachers, they must engage in a process of continuous improvement using timely, high-quality information about the performance of their respective graduates in the classroom as measured by student outcomes. While states have the capacity to provide this information through their…

Competitive foods in schools have historically been scrutinized for their ubiquity and poor nutritional quality, leading many states to enact legislation limiting the availability and accessibility of these items. Evaluations of these policy approaches show their promise in improving the healthfulness of school food environments, considered an…

In this policy brief, TransformEd provides policy recommendations for local and state leaders seeking to take a data-informed approach to SEL. We specifically crafted recommendations that incorporate the use of data because gathering data on SEL allows educators to make meaningful connections between student experiences, school culture, and…

The purpose of this guide is to provide information on how to use early warning data, including the Massachusetts Early Warning Indicator System (EWIS), to identify, diagnose, support and monitor students in grades 1-12. It offers educators an overview of EWIS and how to effectively use these data in conjunction with local data by following a…

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…