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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
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
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
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
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
Rebecca Croxton; Bradley Coverdale; Amy Svirsky – Assessment Update, 2024
The Grand Challenges for Assessment in Higher Education project is a collaborative effort of 10 endorsing organizations and over 400 volunteers to increase the extent to which assessment (1) supports equity; (2) is visible, actionable, and drives innovation; and (3) guides rapid improvements in pedagogy (Singer-Freeman and Robinson 2020). Several…
Descriptors: Data, Visualization, Data Use, Educational Assessment
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
Education Trust-West, 2023
As California invests in early learning and care, the state is also moving forward with a long-overdue plan to build a statewide longitudinal data system (SLDS) -- known as the Cradle-to-Career (C2C) Data System -- which will eventually connect data over time and across sectors like education, health, human services, and the workforce. This is a…
Descriptors: Early Childhood Education, Child Care, Young Children, Access to Education
Signe Sophus Lai; Victoria Andelsman; Sofie Flensburg – Learning, Media and Technology, 2024
Amid the increasing reliance on digital tools and services in education, this article examines the datafication and commodification of student life in Denmark. We analyse the web and app (iOS and Android) versions of 45 tools and services that teachers in Danish public primary schools use as part of their teaching, the types of data generated by…
Descriptors: Data, Foreign Countries, Educational Technology, Web Sites
Alan Cook – ProQuest LLC, 2023
Collecting data for the purpose of decision making has become an integral part of the landscape of education in the United States over the past decade. Many educators are swamped with such an overwhelming amount of information that it can be difficult to sort and analyze, leaving them floundering under wave after wave of data. The SWIS facilitator…
Descriptors: Data Collection, Data Use, Decision Making, Facilitators (Individuals)
Sumitra Tatapudy; Rachel Potter; Linnea Bostrom; Anne Colgan; Casey J. Self; Julia Smith; Shangmou Xu; Elli J. Theobald – CBE - Life Sciences Education, 2024
The underrepresentation and underperformance of low-income, first-generation, gender minoritized, Black, Latine, and Indigenous students in Science, Technology, Engineering, and Mathematics (STEM) occurs for a variety of reasons, including, that students in these groups experience opportunity gaps in STEM classes. A critical approach to disrupting…
Descriptors: Equal Education, Outcomes of Education, Visualization, Reflection
Candice Bocala; Maxwell Yurkofsky – Journal of Educational Change, 2025
Continuous improvement (CI) methods are growing in popularity around the world as approaches to leadership and educational change. There has been particular interest in using CI methods such as collaborative data inquiry to address racial inequities in schools. But these 'wicked' problems are, in many ways, more complex and uncertain than the…
Descriptors: Equal Education, Racism, Data Use, Educational Change
Bowers, Alex J.; Choi, Yeonsoo – Educational Researcher, 2023
Despite increasing calls to build equitable data infrastructures, the education field has yet to have a shared guideline around equitable education data management and stewardship. To address this gap, we propose one framework from the data governance literature: the FAIR (Findable, Accessible, Interoperable, Reusable) data management principles…
Descriptors: Data, Governance, Information Management, Guidelines
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
Petya Ilieva-Trichkova; Pepka Boyadjieva; Ralitsa Dimitrova – European Journal of Higher Education, 2024
In the context of higher education's growing significance and the persistence of inequalities in it, the article aims to further develop the understanding of higher education as a public good and to explore its association with social cohesion in a European comparative perspective. It shifts the focus from the content of higher education as a…
Descriptors: Foreign Countries, Prosocial Behavior, Higher Education, Equal Education

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