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Julie Fitz; Julie Woods; Naomi Duran; Jennifer McCombs – Learning Policy Institute, 2025
As federal funding for summer learning as a pandemic recovery strategy phases out, state governments face decisions about their future role in supporting students' access to quality summer learning opportunities. This brief is based on the full report, "How States Are Expanding Quality Summer Learning Opportunities," and summarizes…
Descriptors: Summer Programs, Educational Opportunities, Educational Quality, Regional Characteristics
UNESCO International Institute for Educational Planning, 2023
Quality, timely, purpose-driven education in emergencies (EiE) data can enable more effective response to education needs in crisis settings and strengthen system resilience. However, a growing body of evidence points to a number of problems related to the production, sharing, and use of EiE data within education information management systems…
Descriptors: Emergency Programs, Crisis Management, Data Analysis, Data Use
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The purpose of the DaSy Data System Framework (referred to as DaSy framework) is to assist Part C (Early Intervention) and Part B (School-Aged) 619 programs in developing and enhancing high-quality state data systems for the collection, analysis, reporting, and use of their Individuals with Disabilities Education Act (IDEA) data. The DaSy…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
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Hinds, Teri Lyn; Floyd, Nancy D.; Ueland, Jeffrey S. – New Directions for Institutional Research, 2021
In June 2019, Minnesota State set a critical goal: By 2030, eliminate the educational equity gaps at each of the 30 colleges and 7 universities that comprise the system. To achieve the goal of Equity 2030, and empower actors at every level of Minnesota State, system and campus leaders need to fully embrace data democratization. Without access to…
Descriptors: Equal Education, Higher Education, Educational Quality, State Policy
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Learner Engagement
Region 9 Comprehensive Center, 2021
The COVID-19 pandemic has created an unprecedented challenge for state, district, and school leaders across the country. Whether states and districts mandate or choose an in-person or remote model or a hybrid model, which includes some aspect of virtual learning, ensuring that vulnerable students and teachers have a remote learning option has…
Descriptors: Distance Education, Blended Learning, Educational Quality, Data Collection
Noonan, James; Schneider, Jack – Phi Delta Kappan, 2022
Parents and the public use accountability data to judge if schools are doing a good or a bad job educating their students. However, using the current data, schools perceived as "good" tend to be in better-resourced districts and enroll higher percentages of wealthy and white students. Schools perceived as "bad" tend to be in…
Descriptors: Educational Quality, Accountability, School Demography, Educational Resources
Marion, Scott – National Center for the Improvement of Educational Assessment, 2020
In March 2020, the coronavirus pandemic and attending shift to remote schooling initiated a dramatic impact on student learning, an impact that state and district leaders feel a sense of urgency to understand and address. These leaders are accustomed using state and district test data to shed light on student achievement and growth. But without…
Descriptors: Educational Opportunities, Equal Education, Data Collection, COVID-19
Peter Rankin; Sally Staton; Alicia Jones; Azhar Hussain Potia; Sandy Houen; Bridget Healey; Karen Thorpe – Australian Education Research Organisation Limited, 2024
In 2023, the Australian Education Research Organisation (AERO) and researchers from the Queensland Brain Institute at The University of Queensland partnered to examine how specific aspects of quality relate to learning and development outcomes for children in Australia. This study contributes the first empirical evidence linking quality ratings of…
Descriptors: Educational Quality, Child Development, Early Childhood Education, Child Care Centers
Wallace Foundation, 2021
The American Rescue Plan Act has made funds available to states and districts to speed up recovery from the effects of COVID-19, including addressing learning loss. The Wallace Foundation has distilled evidence from its work that may be helpful in informing choices about how to spend those funds, as well as how to implement key strategies.…
Descriptors: COVID-19, Pandemics, School Closing, After School Programs
Bridget Healey; Jen Jackson; Sandra Ofei-Ferri; Bryn Lampe – Australian Education Research Organisation Limited, 2022
Australia has made tremendous progress in building a better early childhood education and care (ECEC) system to serve all Australian children and families. Substantial data already exists about ECEC services in Australia, including access, participation and quality. Large-scale data sets are held by governments (state and federal), research…
Descriptors: Early Childhood Education, Child Care, Foreign Countries, Access to Education
Marisa Mission; Juliet Squire; Paul Beach – Bellwether, 2024
This report is the third in a series that unpacks the barriers to access that families face, the variety of solutions that navigation organizations have developed, and the challenges that limit the reach and impact of those solutions. This series offers recommendations for how to help navigators address these challenges and support more families…
Descriptors: Navigation, Family Involvement, Barriers, Access to Education
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection
Data Quality Campaign, 2023
The Data Quality Campaign (DQC) has been reviewing state report cards for the past seven years. They continue to examine the landscape of state report cards because they believe states must increase transparency and build trust by sharing information. But after many years, it was time to look at state report cards with fresh eyes. In addition to…
Descriptors: Parent Attitudes, Data Collection, Information Dissemination, Parents
Marjorie Cohen; Steve Klein; Cherise Moore – Career and Technical Education Research Network, 2020
By partnering with researchers, state CTE administrators have the opportunity to better understand CTE programming and practices across their states. This is the fourth in a series of six practitioner training modules developed as part of the Career & Technical Education (CTE) Research Network Lead. Designed for CTE practitioners and state…
Descriptors: Vocational Education, Educational Research, Research Utilization, Data Use
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