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Ginger Elliott-Teague; Shilan Wooten – Center for IDEA Early Childhood Data Systems (DaSy), 2025
High-quality state early intervention (IDEA Part C) data systems enable state staff to use data to improve their programs and results for children and families. The 2021 State of the States Survey data indicate that most early intervention (EI) programs had state data systems with essential child-level data elements, including child outcomes. In…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Students with Disabilities
Data Quality Campaign, 2023
Each year, state legislators introduce hundreds of bills that generate new data collections, analyses, and resources, playing a crucial role in how people access and use data. Notably, in 2023 legislators introduced and enacted bills governing cross-agency data systems--the most important step that states must take to make robust access to data…
Descriptors: Educational Legislation, Data Analysis, Data Collection, Access to Information
Center for IDEA Early Childhood Data Systems (DaSy), 2022
The value of data is increasingly recognized by organizations and programs, including Individuals with Disabilities Education Act (IDEA) Part C and Part B 619 programs. Data can help Part C and Part B 619 program coordinators, data managers and staff improve outcomes for children and families by strengthening their understanding of the needs of…
Descriptors: Equal Education, Educational Legislation, Federal Legislation, Students with Disabilities
Matt Giani; Madison E. Andrews; Tasneem Sultana; Fortunato Medrano – Annenberg Institute for School Reform at Brown University, 2025
This study examines College and Career Readiness (CCR) policy implementation through the lens of "decoupling." We investigate how high schools have jointly implemented Career and Technical Education (CTE) and Industry-Based Certifications (IBCs), and whether there is evidence of "curricular-credential decoupling" via…
Descriptors: Educational Policy, Credentials, High Schools, Data
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
Colorado Department of Higher Education, 2023
Colorado has led the nation in supporting the success of all Coloradans, enacting bold policies, and continuing to build a Colorado for all. These efforts have all been informed by robust stakeholder engagement paired with data analysis. Various initiatives over the years have improved the state's ability to use data to inform these goals. With…
Descriptors: Data Analysis, Decision Making, Data Use, Career Pathways
Sheryl S. Lazarus; Martha L. Thurlow; Mari K. A. Quanbeck – Journal of Special Education, 2025
The 2015 reauthorization of the Elementary and Secondary Education Act placed a 1.0% cap on the participation of students with disabilities in the alternate assessment based on alternate academic achievement standards (AA-AAAS). U.S. Department of Education regulations clarified that states must develop participation guidelines and a definition of…
Descriptors: Students with Disabilities, Alternative Assessment, Guidelines, State Standards
Bocala, Candice; Boudett, Kathryn Parker – Educational Leadership, 2022
Collaborative data inquiry can help schools serve their students better and improve student outcomes--but only if equity is prioritized. Researchers from Harvard's Data Wise Project discuss the importance of using an equity lens when engaging in collaborative data inquiry and what this can mean in terms of disrupting system inequities.
Descriptors: Data Use, Data Analysis, Inquiry, Equal Education
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
Bull, Bruce; Nelson, Robin – Center for IDEA Early Childhood Data Systems (DaSy), 2022
This guidance is for program and agency staff who have identified the need to develop a new data system or make major enhancements to an existing system. Key considerations are presented as questions to help guide staff through the initiation and planning process. The system initiation phase requires a broad team with the expertise and knowledge…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Kathy Strunk; Andrew R. Hinkle; Sheryl S. Lazarus; Carol Seay; Kascinda Fleming – National Center on Educational Outcomes, 2024
For many years state education agencies (SEAs) have sought to create assessment systems that include all students, including students with disabilities. In order to improve outcomes for students with disabilities, there is an urgent need for cross-agency collaboration between special education and assessment offices, but other offices (e.g.,…
Descriptors: Agency Cooperation, Student Evaluation, Students with Disabilities, State Departments of Education
Travis, Tiffini A.; Ramirez, Christian – portal: Libraries and the Academy, 2020
Libraries remain one of the last places on campus where the purging of usage data is encouraged and "tracking" is a dirty word. While some libraries have demonstrated the usefulness of analytics, opponents bring up issues of privacy and debate the feasibility of student-generated library data for planning and assessment. Using a study…
Descriptors: Academic Libraries, Data Collection, Learning Analytics, Ethics
Caroline Morales – International Journal on E-Learning, 2024
As American public education becomes increasingly technology-based, multiple new data sources become accessible for educators to better understand student learning processes. Novel data analysis applications became necessary during severe disruptions due to the COVID pandemic. This case study highlights a novel method for identifying high school…
Descriptors: COVID-19, Pandemics, Data Analysis, Learning Processes
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
Kathryn Larin – US Government Accountability Office, 2024
The school meal programs provide nutritious meals to millions of students each day. In fiscal year 2023, federal spending for these programs was $21 billion. It is unclear how many charter schools participate in these programs or what factors can affect their participation. The Government Accountability Office (GAO) was asked to review charter…
Descriptors: Lunch Programs, Breakfast Programs, Charter Schools, Participation

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