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Colorado Department of Higher Education, 2024
In the 2023 report "Colorado's Longitudinal Data Landscape. Report to the Education Committees of the Colorado House of Representatives and the Colorado Senate. Statute: 23-1-141," the Colorado Department of Higher Education (CDHE) provided a detailed overview of Colorado's long history of efforts to support more connected, longitudinal…
Descriptors: Data Collection, State Legislation, Educational Legislation, Best Practices
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
Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
Student participation in summer programming can be an effective way to address students' academic and developmental needs. When well implemented and well attended, summer enrichment programs, academic programs, and employment programs have demonstrated positive outcomes for youth in areas related to program content, including academic achievement…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
Carrie Klein; Jessica Colorado – State Higher Education Executive Officers, 2024
Since 2010, the State Higher Education Executive Officers Association's (SHEEO) Strong Foundations survey has reported on the evolution and value of postsecondary student unit record systems (PSURSs) by illuminating the condition of state postsecondary data in the U.S. In the "Strong Foundations 2023" survey, which was administered from…
Descriptors: College Students, Student Records, Data Collection, Databases
Data Quality Campaign, 2021
Data reflects a series of decisions made by people--and those decisions affect the story that data tells, what it captures, and how it can and should be used to inform decision-making. Because of this, mistrust in data is often the result of incomplete information and a lack of context. This resource breaks down what it means to build trust in…
Descriptors: Data Use, Data Collection, Data Analysis, Bias
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
Safir, Shane; Dugan, Jamila – Corwin, 2021
Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the "student" up--with classrooms, schools and systems…
Descriptors: Data Collection, Equal Education, Educational Change, Data Use
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
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
Aspen Institute, 2022
The overwhelming majority of families rely on public education for a foothold in the American Dream, making it perhaps the most consequential expression of America's core value of opportunity for all. State policymakers are the constitutional stewards and primary funders of America's public schools. They have the awesome responsibility of guiding…
Descriptors: Public Education, State Policy, Student Experience, Democracy
O'Hara, Amy – Institute for Higher Education Policy, 2019
Our current federal postsecondary data system is incomplete and fails to provide today's students with the accurate, timely information that they need to inform their college choices and promote their success. As policymakers consider proposals to improve this federal data system, they should model best practices of responsible data-use to ensure…
Descriptors: Postsecondary Education, Information Dissemination, Information Management, Information Security
Marion, S. F.; Gonzales, D.; Wiener, R.; Peltzman, A. – National Center for the Improvement of Educational Assessment, 2020
State policymakers are confronting well-documented intersecting crises -- medical, economic, and racial -- with especially dire implications for educational equity. State education leaders face a moral urgency to both understand and respond to the challenges students are experiencing and to do so in ways that address burgeoning equity gaps.…
Descriptors: State Policy, Educational Opportunities, Program Evaluation, Summative Evaluation
National Forum on Education Statistics, 2023
This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…
Descriptors: Discipline, Data Collection, Data Analysis, School Districts
King, Carlise; Perkins, Victoria – Early Childhood Data Collaborative, 2020
Over the last decade, state efforts to build stronger data infrastructure and integrate data about early childhood services have continued to grow. A stronger data infrastructure supports states in more easily linking data across programs, which in turn makes it easier to analyze and use that data to answer important policy questions. An Early…
Descriptors: Educational Finance, Financial Support, Home Visits, Early Childhood Education
TNTP, 2017
This report is drafted with state leaders and policy makers in mind, including those who work with or support these education leaders. The information shared in this report will likely be most relevant to states that have either not yet considered a new data system on teacher preparation providers, are only now starting to consider the idea, or…
Descriptors: Teacher Education Programs, Information Systems, Data Collection, Best Practices
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