How do people reason with data to make sense of the world? What implications might everyday practices hold for data literacy education? We leverage the unique context of the COVID-19 pandemic to shed light on these questions. COVID-19 has engendered a complex, multimodal ecology of information resources, with which people engage in high-stakes…

Joseph P. McDonald reports findings from a study of nine poverty-impacted schools in New York City striving to more effectively use student performance data in teaching. The study was one of 13 studies of data use at the classroom level across the United States funded by the Spencer Foundation -- an effort intended to fill a serious gap in…

The Civil Rights Data Collection (CRDC), formerly known as the Elementary and Secondary School Civil Rights Survey, is a part of the U.S. Department of Education's (ED's) Office for Civil Rights (OCR) strategy for administering and enforcing civil rights laws in U.S. public school districts and schools, including Puerto Rico.The CRDC collects a…

As tuition rates for higher education rise, universities are under increased pressure from internal and external stakeholders to document outcomes such as graduation rates. To do so, higher education institutions must use data effectively. This paper examines the University of Wisconsin--Stout's (UW-Stout) strategies for data use in the…

This paper explores how data-driven practices and logics have come to reshape the possibilities by which the teaching profession, and teaching professionals, can be known and valued. Informed by the literature and theorising around educational performativity, the constitutive power of numbers, and affective responses to data, it shows how…

In recent decades, the belief has originated that data use contributes to more thought-out decisions in schools. The literature has suggested that fruitful data use is often the result of interactions among team members. However, up until now, most of the available research on data use has used "collaboration" as an umbrella concept to…

Measures of student growth offer a richer understanding of student performance than a moment-in-time test score alone, but measures of student growth are not created equal. In their accountability plans for implementing the Every Student Succeeds Act (ESSA), some states are using a sophisticated analysis of multiple data points that evaluate the…

Under emerging policy structures in California, the responsibility for school improvement is increasingly placed upon local school districts, with County Offices of Education (COEs) playing a critical support role. In this system, districts are responsible for school improvement, with counties in charge of ensuring quality across districts and…

This case study shows how data systems can be combined to identify educational risk factors and then develop and implement solutions for addressing them. It shares a detailed account of strategies -- made possible through data systems developed by the Poverty Center -- that various stakeholders utilized to protect children in Cleveland from lead…

When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform…

Over the decades, it is evident that exceptional learners have been excluded from participating in international assessments such as OECD's PISA (Programme for International Student Assessment) due to their disabilities. Drawing on the interdisciplinary theories and perspectives of educational assessment, measurement, and early childhood special…

Accountability policies assume that educators will use student data to improve student learning, but data use in practice has turned out to be harder than theorized. The purpose of this article was to examine how science teachers in Grades 5 to 8 used data in their classrooms. Utilizing sensemaking theory, we found that teachers decided how to use…

This interview-based study explores the nature of reflective practice among postsecondary faculty by examining the types of teaching-related data faculty use during their reflection, their reflective practice process, and the contextual factors that influence that process. Our findings indicate faculty drew on both numeric and non-numeric data…

Members of the Data Science Program at George Washington University (GWU) designed and implemented a tuition-free two-week summer camp at GWU for high-school students from the Washington Metro Area. The United States Department of Agriculture (USDA) Office of the Chief Information Officer and his staff were our main partners in the project. The…

The contribution of data use in schools has been proven via visible changes in policy and practice in schools (instrumental effects), changes in practitioners learning or cognition (conceptual effects) and changes in opinions or attitudes regarding teaching or policy-making (symbolic effects). Nevertheless, limited research is available on the…