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Jessica Arnold; Julie Webb – WestEd, 2024
While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…
Descriptors: Data Use, Measurement, Educational Improvement, Outcomes of Education
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Erica Southgate; Elham Naghizade; Amy Corman; Mirella Atherton – Australian Educational Researcher, 2025
Internationally, there has been increasing interest in the governance of educational technology (EdTech) in schools. While other nation states have legislative frameworks that address privacy and related concerns (often referred to as 'hard' regulation), Australia has largely depended on 'soft' regulation in the form of policy and guidelines to…
Descriptors: Educational Technology, Foreign Countries, Governance, Educational Policy
Christine Dickason; Sharmila Mann; Nick Lee – Bellwether, 2025
"Pathways to Implementation" highlights innovative strategies and effective models in career pathways policy, implementation, and programming, as well as challenges states encounter in this work. This seven-part series addresses the key elements of Bellwether's framework for career pathways policy implementation. Each brief defines the…
Descriptors: Career Pathways, Educational Cooperation, State Programs, Program Implementation
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
Early Childhood Technical Assistance Center, 2024
This guide provides cross-sector teams at the state, territory, tribal, and local levels with strategies for collecting and using data across the mixed delivery system of early care and education programs. (This guide uses the term "state and local" to refer to all of these levels.) Collecting and analyzing qualitative and quantitative…
Descriptors: Educational Policy, Educational Practices, Data Use, Discipline
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
Education Commission of the States, 2020
Following a high-quality early care and pre-K experience, the kindergarten-through-third-grade years set the foundation upon which future learning builds; and strengthening this continuum creates opportunities for later success. Key components of a quality experience in K-3 include school readiness and transitions, kindergarten requirements,…
Descriptors: State Policy, Educational Policy, Primary Education, Data Use
Jessica Maddox – Advance CTE: State Leaders Connecting Learning to Work, 2025
Real-time and traditional labor market information (LMI) should inform all facets of the state Career Technical Education (CTE) policymaking process. Subsequently, national LMI was the foundation of the process to update the modernized National Career Clusters® Framework. Intentionality when incorporating elements of LMI into supported CTE…
Descriptors: Career and Technical Education, Occupational Clusters, Educational Policy, State Policy
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
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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
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Ansell, Charles – Change: The Magazine of Higher Learning, 2021
Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…
Descriptors: Data Collection, Data Use, Decision Making, Higher Education
Data Quality Campaign, 2025
Expanding access to high-quality, affordable early childhood services is key to state efforts to support families' well-being, ensure that children are ready to succeed in school, and sustain a strong economy. Right now, early childhood data is typically housed in different, disconnected state and local systems. State leaders seeking to provide…
Descriptors: Early Childhood Education, Data Collection, Data Use, Child Care
National Forum on Education Statistics, 2021
In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…
Descriptors: Electronic Learning, Elementary Secondary Education, Data Collection, Data Use
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Paige Kowalski – State Education Standard, 2024
Everyone who uses student information has a responsibility to maintain students' privacy and the security of their data. Ensuring student data privacy is about so much more than complying with the Family Educational Rights and Privacy Act (FERPA). While privacy must be top of mind when thinking about collecting and using personally identifiable…
Descriptors: State Boards of Education, State Agencies, Public Education, Privacy
Nancy Montes; Fernanda Luna – UNESCO International Institute for Educational Planning, 2024
This article characterizes and reflects on the possible uses of early warning systems (hereafter, EWS) in the region as effective tools to support educational pathways, whenever they identify risks of dropout, difficulties for the achievement of substantive learning, and the possibility of organizing specific actions. This article was developed in…
Descriptors: Data Collection, Data Use, At Risk Students, Foreign Countries
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