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Knips, Andrew; Lopez, Sonya; Savoy, Michael; LaParo, Kendall – ASCD, 2022
Building a better data culture can be the path to better results and greater equity in schools. But what do we mean by data? Your students are not just statistics. They aren't simply a set of numbers or faceless dots on a proficiency scale. They are vibrant collections of experiences, thoughts, perspectives, emotions, wants, and dreams. And taken…
Descriptors: Equal Education, Data Use, Data Collection, Data Analysis
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
Ciji A. Heiser; Julene L. Jones; Glenn Allen Phillips – Assessment Update, 2024
Institutions of higher education are asked to consider how their work can advance equity in institutional outcomes. Assessment, too, has been asked to consider the ways in which traditional student assessment "privileges and validates certain types of learning and evidence of learning over others" (Montenegro and Jankowski 2017, p. 5).…
Descriptors: Higher Education, Equal Education, Educational Assessment, Professional Development
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
Marcia Jean Ham – ProQuest LLC, 2021
Leveraging big data for student data analytics is increasingly integrated throughout university operations from admissions to advising to teaching and learning. Though the possibilities are exciting to consider, they are not without risks to student autonomy, privacy, equity, and educational value. There has been little research showing how…
Descriptors: Educational Policy, Personal Autonomy, Privacy, Equal Education
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
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
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
Foster, Elizabeth – Learning Professional, 2021
Acting to dismantle structural racial inequities begins with identifying and clearly naming the challenges being faced. Data play a powerful role in this process. Several recent publications synthesize data sources, research findings, and expert recommendations to inform and guide equity improvement efforts. A five-part "Statement of the…
Descriptors: Data Use, Equal Education, Racial Discrimination, Data Analysis
Paschall, Katherine; Connors, Maia – Child Trends, 2023
Child Trends and Start Early have partnered to better understand what early childhood systems builders need to build and support more equitable systems. The briefs in this series, called Conversation Starters, define a new framework for early childhood systems that center families' experiences and raise key considerations and next steps for…
Descriptors: Young Children, Early Childhood Education, Family Involvement, Equal Education
Li Feng; Eleanor W. Close; Cynthia J. Luxford; Jiwoo An Pierson; Alice Olmstead; Jieon Shim; Venkata Sowjanya Koka; Heather C. Galloway – Research in Higher Education, 2025
Evidence-based and student-centered instructional methods hold the promise of transforming undergraduate STEM education and simultaneously solving the dual challenge of STEM workforce needs and inequities within STEM. The Learning Assistant (LA) Model was created to reform curriculum, recruit teachers, and inform discipline-based education…
Descriptors: STEM Education, School Holding Power, Graduation Rate, Data Analysis
Education Trust-West, 2019
With Governor Newsom's signature on the state budget in June 2019, California is finally on the path to joining the majority of other states in the country who have robust data systems. Having this administration provide funding to begin to build and maintain a statewide longitudinal data system (SLDS) is an important win. Advocates have been…
Descriptors: Longitudinal Studies, Data Collection, Equal Education, Family Involvement
Complete College America, 2020
States' commitments to tackling long standing inequities have been stifled by missing data, long delays, insufficient data-analysis tools, and the excessive reporting burden placed on states and institutions. If states hope to achieve their completion and equity goals, they need access to data that does not leave them guessing--so they can…
Descriptors: Postsecondary Education, Partnerships in Education, Data Analysis, Data Use
Barnes, Nicole; Brighton, Catherine M.; Fives, Helenrose; Meyers, Coby; Moon, Tonya R. – Theory Into Practice, 2022
Data use has gained policy traction at the federal, state, and local levels in the United States and internationally, and is now embedded in teacher, principal, and district leader standards in the U.S. However, many decisions implemented in policy and practice are being made on insufficient evidence and assume a relatively straightforward,…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Policy
Roegman, Rachel – Education Policy Analysis Archives, 2020
In this comparative study, I examine principal data use in two sets of districts. One set of three districts has a district-wide focus on using data to improve instruction, and the other set, also with three districts, has a district-wide focus on analyzing disaggregated data by student demographic groups. Data sources include interviews with…
Descriptors: Data Use, Principals, School Districts, Equal Education
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