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Liz Glaser; Claus von Zastrow – Education Commission of the States, 2025
Decision makers and strategy leaders in states often lack the information they need to make decisions that will support learners' success. Many lack information on what data their states already collect and publicize, and many are unsure of what data might tell a more meaningful story about student success. Responding to this need, researchers and…
Descriptors: Data Collection, Data Use, Educational Indicators, Education Work Relationship
Liz Glaser; Claus von Zastrow – Education Commission of the States, 2025
The Education-to-Workforce (E-W) Indicator Framework offers guidance for using data to promote education outcomes and economic security for all. Developed with input from leading experts from over 20 national and community organizations, it highlights key connections needed among systems to support students as they progress from early education…
Descriptors: Data Collection, Educational Indicators, Education Work Relationship, Data Use
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Gutiérrez-Mijares, María Eugenia; Josa, Irene; Casanovas-Rubio, Maria del Mar; Aguado, Antonio – Studies in Higher Education, 2023
Sustainability has increasingly become key in universities, as the objectives of sustainable development are essential to establish policies, guidelines and indicators that guide institutions to be more sustainable. This recognition has led many authors to develop methods to assess universities based on their performance in terms of sustainable…
Descriptors: Evaluation Methods, Sustainability, Higher Education, Educational Indicators
National Forum on Education Statistics, 2023
The Forum Guide to Data Quality provides best practices from districts and states for maintaining quality data as these agencies regularly review and revise their methods for working with data, as well as their expectations for all staff who are responsible for education data and their quality. This resource is intended to help districts and…
Descriptors: Data Collection, Quality Control, Best Practices, Educational Indicators
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Ignacio Villagrán; Rocio Hernández; Gregory Schuit; Andrés Neyem; Javiera Fuentes; Loreto Larrondo; Elisa Margozzini; María T. Hurtado; Zoe Iriarte; Constanza Miranda; Julián Varas; Isabel Hilliger – Journal of Learning Analytics, 2024
Remote technology has been widely incorporated into health professions education. For procedural skills training, effective feedback and reflection processes are required. Consequently, supporting a self-regulated learning (SRL) approach with learning analytics dashboards (LADs) has proven beneficial in online environments. Despite the potential…
Descriptors: Feedback (Response), Independent Study, Skill Development, Learning Analytics
IDEA Data Center, 2025
The "Individuals with Disabilities Education Act" (IDEA) requires state education agencies (SEAs) to establish a general supervision system for their local education agencies (LEAs), which includes making LEA determinations. In this resource, the IDEA Data Center (IDC) provides an overview of the annual LEA determinations requirements…
Descriptors: Educational Legislation, Equal Education, Federal Legislation, Students with Disabilities
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
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Hanson, Jana M.; Moore, Erica J.; Morseau, Amber; Taylor, Darius D. – Tribal College Journal of American Indian Higher Education, 2023
The U.S. Department of Education has required educational collection and reporting. For postsecondary institutions, this requirement has evolved from the Higher Education General Information Survey (HEGIS), which was used from the 1960s to the 1980s, to the Integrated postsecondary Education Data System (IPEDS) (Aliyeva, Cody, & Low, 2018).…
Descriptors: Evaluation Methods, Tribally Controlled Education, Minority Serving Institutions, Data Collection
Karishma Furtado; Maggie Reeves – Urban Institute, 2025
States heavily invest in education budgets for good reason. Ensuring high-quality education is part of a state's commitment to a robust economy, thriving communities, and civic well-being. The current emphasis on state and local authority in federal education policy conversations underscores the critical role states play in shaping strong…
Descriptors: Career Readiness, College Readiness, Evaluation Methods, Educational Policy
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Hemy Ramiel; Eran Fisher – Learning, Media and Technology, 2024
This paper adds an algorithmic epistemology perspective to previous works that examine the datafication of subjective social and emotional characteristics, perceptions, and behaviours. The paper employs a comparative epistemological approach to explore two behavioural educational platforms: RedCritter Teacher and Panorama Education. We unpack…
Descriptors: Epistemology, Social Emotional Learning, Data, Higher Education
Education Trust-West, 2020
For over 5 years, The Education Trust-West's #Data4ThePeople campaign has been a statewide effort to ensure California builds a data system that is designed with achieving equity and the needs of students, parents, and families at the center. Now with school and college closures caused by COVID-19 posing a real challenge to data accessibility and…
Descriptors: Equal Education, School Closing, COVID-19, Data Collection
Nagle, Kate; Hayes, Susan – IDEA Data Center, 2022
The purpose of this resource is to unpack Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3D to better understand how to use it to improve outcomes for children with individualized education programs (IEPs). Indicator 3D is a new subcomponent of Indicator 3 in the Office of Special Education Programs' (OSEP) FFY…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
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
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Advance CTE: State Leaders Connecting Learning to Work, 2021
With the recent reauthorization of the Strengthening Career and Technical Education for the 21st Century Act (Perkins V), unprecedented philanthropic investment in career pathways, and the urgent economic needs of the COVID-19 (coronavirus) pandemic, the career readiness field is at a critical moment in time. To meet this moment, states,…
Descriptors: Career Readiness, Career Development, Educational Legislation, Federal Legislation
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