This Special Report -- drawing on insights from a technical working group of experts in arts education, state data systems and state policy -- offers guidance on key arts-education metrics many states could track by using data they already collect.

While designs of professional learning have expanded exponentially beyond the required-attendance inservice day workshop model, infusing meaningful data into daily decisions and conversations has not gained as much traction. Leaders of professional learning are increasingly coming under pressure to demonstrate that evidence is not an anathema in…

The concept of data-informed decision making (DIDM), a term used interchangeably with data-driven decision making (DDDM) and data-based decision making (DBDM), is relatively new to Irish education and the school planning process. This research sought to clarify what data principals use and how they use that information for school improvement…

When school and district administrators are empowered to lead a culture of data use, students do better. As states focus on improving overall school quality and ensuring success for all students, they need a workforce of school and district administrators who are equipped to use data to continuously improve. State leaders are uniquely positioned…

This paper analyses how three European countries produce and use data within a specific educational policy field, that of school leaving and graduation. It compares how stakeholders in England, Finland and the Netherlands know what happens to the leavers from schools and universities. Through gathering evidence about the methodological…

Strong relationships with senior administrators, effective cross-campus collaboration, and efficient use of technology are central to impactful IR in small colleges.

As multimodal writing continues to shift and expand in the era of Big Data, writing studies must confront the new challenges and possibilities emerging from data mining, data visualization, and data-driven arguments. Often collected under the broad banner of "data literacy," students' experiences of data visualization and data-driven…

In New Mexico's Rio Rancho school district, students and educators at Puesta del Sol Elementary take inspiration from Spirit the Eagle's ability to soar. The mascot, who presides over approximately 750 students and 100 staff members, embodies the vision and tenaciousness that lifted the suburban Albuquerque school from a disappointing state report…

Purpose: The purpose of this article is to examine the data conversation moves enacted by leaders and to bridge organizational leadership for equity and data-informed decision making to practice. I argue that data discussion moves with the purpose of improving equity and learning must reflect core tenets of organizational leadership for…

A multiple case study was designed to examine the components of data literacy used by formal and informal leaders to support the work of Data Teams. Nine formal leaders and ten informal leaders constituted the participants. One overarching central question and seven subquestions guided the research. The answer to the central question, How do…

The Forum Guide to Reporting Civil Rights Data presents a variety of effective methods through which local education agencies (LEAs) report civil rights data to the U.S. Department of Education's Office for Civil Rights. In addition, the guide provides examples of how state education agencies can voluntarily help their LEAs with Civil Rights Data…

Course selection can be a daunting task, especially for first year students. Sub-optimal selection can lead to bad performance of students and increase the dropout rate. Given the availability of historic data about student performances, it is possible to aid students in the selection of appropriate courses. Here, we propose a method to compose a…

In this paper, we argue that in order to bind Teach For All's universalizing statement of problems and solutions to the specificities and the special conditions of member programs' local contexts, what is needed is a shared set of discursive practices, a way of bringing together the commonalities found in each country while separating the noise of…

The purpose of this investigation is to study and pursue a user-defined approach in preserving data privacy while maintaining an acceptable level of data utility using machine learning classification techniques as a gauge in the generation of synthetic data sets. This dissertation will deal with data privacy, data utility, machine learning…

The use of data to improve learning, instruction and student achievement has been a popular educational intervention in countries across the globe. Yet, with all the available data generated by standardized tests or through the course of instruction, systematic use of data as a lever for school change still remains elusive. This article is an…