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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
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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
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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
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
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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)
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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
Miranda Kucera; K. Kawena Begay – Communique, 2025
While the field advocates for a diversified and comprehensive professional role (National Association of School Psychologists, 2020), school psychologists have long spent most of their time in assessment-related activities (Farmer et al., 2021), averaging about eight cognitive evaluations monthly (Benson et al., 2020). Assessment practices have…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
Miranda Kucera; K. Kawena Begay – Communique, 2025
In Part 1 of this series, the authors briefly reviewed some challenges inherent in using standardized tools with students who are not well represented in norming data. To help readers clearly conceptualize the framework steps, the authors present two case studies that showcase how a nonstandardized approach to assessment can be individualized to…
Descriptors: Equal Education, Student Evaluation, Evaluation Methods, Standardized Tests
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
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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Arantes, Janine Aldous; Vicars, Mark – Learning, Media and Technology, 2023
In the recent Australian 2021 census, the socio-technical construct of algorithmically driven decision-making processes made LGBTQI+ data as a category of diversity, inclusion and belonging an absent presence. In this paper, we position the notion of 'data justice' in relation to the entrenchment of inequalities and exclusion of LGBTQI+ lives and…
Descriptors: Foreign Countries, Homosexuality, LGBTQ People, Data
Data Quality Campaign, 2022
Five years ago, California's education data lagged far behind the systems in most other states. However, state leaders and education advocates undertook a purposeful engagement and design process to build a data system that represents the state's values and meets different stakeholders' needs. This case study on California's P-20W Cradle-to-Career…
Descriptors: Data, Data Collection, Design, Inclusion
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