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Laura M. Samulski-Peters – ProQuest LLC, 2024
One of the most significant issues in education, as defined by the U.S. Department of Education Office of Accountability (2018), is disproportionality in exclusionary discipline. Disproportionality is defined as the over- and under-representation of racial/ethnic minorities in relation to their overall enrollment (Ahram et al., 2011). Currently,…
Descriptors: Disproportionate Representation, Discipline, Data Use, Minority Group Students
National Forum on Education Statistics, 2025
This Forum Guide, developed by the National Forum on Education Statistics, provides best practices for collecting, managing, and using educator workforce data. It offers education agencies practical guidance on building high-quality data systems that inform teacher recruitment, retention, and professional development efforts.
Descriptors: College Readiness, Career Readiness, Data Collection, Data Use
Michael DeArmond; Dan Goldhaber; Kaori Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2025
States often lack timely, specific information about where teachers are needed the most. This information gap is compounded by the way public schools typically pay teachers--based on experience and academic credentials rather than supply and demand conditions--which sends weak signals to potential teachers about which positions are most in-demand…
Descriptors: Data Use, Occupational Information, Teacher Supply and Demand, Data Collection
Katherine A. Shields; Bryan C. Hutchins; Kelly Reese; Edward C. Fletcher; Katherine Hughes – Career and Technical Education Research Network, 2024
In recent years, career and technical education (CTE) programs that include quality work-based learning (WBL) opportunities for students have gained significant traction among educators, policymakers, and stakeholders as an effective way to prepare students for the labor market. However, a lack of data on WBL--which many CTE students participate…
Descriptors: Vocational Education, Experiential Learning, Data Collection, Educational Research
National Forum on Education Statistics, 2022
"Using Education Indicators: A Forum Guide for State and Local Education Agencies" was developed to provide timely and useful information on education indicators, how their collection and use have changed over time, and how agencies use them strategically. Since the publication of the 2005 document "Forum Guide to Education…
Descriptors: Educational Indicators, State Departments of Education, School Districts, Data Use
Student Mobility Data Working Group – National Forum on Education Statistics, 2025
This guide provides information and best practices that will help state education agencies (SEAs) and local education agencies (LEAs) manage data related to students who frequently change schools, with a focus on actions to minimize student learning disruptions and allow agencies to provide support for those particular students. This document…
Descriptors: State Departments of Education, School Districts, Best Practices, Student Mobility
Ian Hardy; Vicente Reyes; Louise G. Phillips; M. Obaidul Hamid – Journal of Education Policy, 2024
Data infrastructures exist in a variety of formats. This article draws on the insights of senior personnel involved in developing a new data dashboard in one state jurisdiction in Australia. While literature on dashboards often focuses on the teachers and learners influenced by them, there is less attention to those involved in their development…
Descriptors: Learning Analytics, Learning Processes, Learning Management Systems, Computer Software
National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
Juan D’Brot; W. Chris Brandt – Region 5 Comprehensive Center, 2024
In today's educational landscape, state and local educational agencies (SEAs and LEAs) often experience challenges connecting large-scale accountability data with actual school improvement initiatives. These challenges tend to be rooted in incoherent design and use of data systems for continuous improvement. As we aim to support SEAs in…
Descriptors: Educational Improvement, Data Collection, State Departments of Education, School Districts
Dexter, Sara; Francisco, Aubrey; Luke Luna, Christina – Journal of Educational Administration, 2021
Purpose: The purpose of this study was to better understand K-12 district leaders' reasoning and processes for selecting and deploying EdTech instructional products, including which, if any, types of data are used to support decision-making. Design/methodology/approach: This multisite case study of educational technology (EdTech) decision-making…
Descriptors: Educational Technology, Decision Making, Selection, Purchasing
Connors, Elizabeth H.; Smith-Millman, Mills; Bohnenkamp, Jill H.; Carter, Taneisha; Lever, Nancy; Hoover, Sharon A. – School Mental Health, 2020
Learning collaboratives (LCs) have often been used to improve somatic health care quality in hospitals and other medical settings, and to some extent to improve social services and behavioral health care. This initiative is the first demonstration of a national, systematic LC to advance comprehensive school mental health system quality among…
Descriptors: School Districts, Access to Health Care, Mental Health, School Health Services
Marguerite Roza; Lucy Hadley; Hannah Jarmolowski – National Comprehensive Center, 2020
Our nation spends approximately $650 billion per year on our K-12 education system. To understand how those dollars impact students, we need to examine spending where it reaches them: at the school level. The document, developed by the National Center, describes a national data archive that uses all elements of Interstate Financial Reporting (IFR)…
Descriptors: Educational Finance, Expenditure per Student, Elementary Secondary Education, Archives
Education Trust, 2023
Texans ages 25-34 who earn an associate degree are nearly twice as likely to earn at least $50,000 per year than those who don't earn a degree (24% vs. 13%). Those earning a bachelor's degree or higher are nearly four times as likely to reach this self-sustaining wage (49% vs. 13%). If every eighth grader in Harris County were to earn an associate…
Descriptors: College Readiness, Career Readiness, High School Graduates, Educational Attainment
Knudson, Joel – California Collaborative on District Reform, 2020
School closures in response to the COVID-19 pandemic have dramatically changed the conditions in which students learn and experience schooling. Disparities in students' access to learning and in their academic outcomes are likely to exacerbate longstanding challenges and inequities. Now more than ever, educators need information that will help…
Descriptors: Data Use, Educational Improvement, Equal Education, Data Collection

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