Teachers need longitudinal student-level data, such as attendance history, course-taking patterns, grades, and test scores, to tailor instruction to individual students' strengths and weaknesses.This factsheet uses the findings from the Data for Action 2013 analysis to discuss how states can provide teachers with student-level longitudinal data,…

Educational authorities and policymakers are increasingly focused on protecting student privacy while using data to inform program and policy decisions. Data from more than one government agency is often analyzed to more holistically inform these decisions. This has led to the development of integrated data systems (IDSs) that allow linkage of…

This article shares a school based inquiry project undertaken by staff in a special day school in the North Island of New Zealand supported by an external teacher educator/researcher from the United States. The inquiry project followed the Accessible Research Cycle (Jones, Whitehurst, & Egerton, 2012), which is a phased progression of…

Computer data systems have become a lynchpin to supporting school data use. However, successfully implementing such systems is no easy task. In this case, readers explore the ways in which "technology problems" and "people problems" can be intertwined. The case follows Dr. Molly Winters as she encounters social and…

The California Community Colleges serve more than 2.1 million students and is the largest system of higher education in the nation. The state's 112 colleges provide workforce training, teach basic math and English, and prepare students for transfer to four-year universities and colleges. Senate Bill 852 established the Career Technical Education…

In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…

Governors plays a central role in ensuring that public educational institutions provide students with the knowledge and abilities required for a successful life and career. The systemic use of data from education and labor markets informs governors and other policymakers of the effectiveness and efficiency of their existing postsecondary systems…

Several scholars have recommended using data from neuropsychological tests to develop interventions for reading and mathematics. The current study examined the effects of using neuropsychological data within the intervention process with meta-analytic procedures. A total of 1,126 articles were found from an electronic search and compared to…

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…

Through policies like No Child Left Behind, the federal government incentivized the use of student performance data as a core strategy for improving student achievement. The assumption behind these efforts is that data will be used to guide teacher practice and promote high-quality instruction. This study examined how teachers describe using data…

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will…

Using occupation profiles, jobseekers can see which industries employ the most workers in a particular field, which geographical areas have high concentrations of those jobs, and how wages differ by industry and geographical area. This article gives an overview of the data in the Occupational Employment Statistics (OES) occupation profiles. It…

The national focus in education continues to center on school accountability and student results. Districts and states are continually searching for ways to improve student performance and learning outcomes. There are several Data Driven Decision Making models currently being used in school districts across the country. Research continues to…

Studies of data use illuminate ways in which education professionals have used test scores and other evidence relevant to students' learning--in action in their own contexts of work--to make decisions about their practice. These studies raise instructive challenges for a validity theory that focuses on intended interpretations and uses of test…

Purpose: The use of data for instructional improvement is prevalent in today's educational landscape, yet policies calling for data use may result in significant variation at the school level. The purpose of this paper is to focus on tools and routines as mechanisms of principal influence on data-use professional learning communities (PLCs).…