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Frank Lee; Alex Algarra – Information Systems Education Journal, 2024
Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that…
Descriptors: Visual Aids, Data Use, Data Collection, Naming
Jason Williams – Solution Tree, 2025
Author Jason Williams develops a framework that balances data-based decision making with a deep consideration for addressing students' unique needs to foster improved learning outcomes. Focusing on five qualities integral to a healthy data culture, Williams offers educators a simple, reliable way to assess and reconsider their data practices to…
Descriptors: Shared Resources and Services, Information Dissemination, Information Management, Data
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
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Anais Roque; Amber Wutich; Alexandra Brewis; Melissa Beresford; Laura Landes; Olga Morales-Pate; Ramon Lucero; Wendy Jepson; Yushiou Tsai; Michael Hanemann – Field Methods, 2024
Community-based participant-observation purposefully combines participant-observation and community-based participatory research. While participant-observation is the core method of ethnography and foundational to cultural anthropology, community-based participatory research initially emerged from health and related applied sciences to align…
Descriptors: Participant Observation, Participatory Research, Ethnography, Communities of Practice
Data Quality Campaign, 2024
In 2024, state legislators introduced hundreds of bills that would affect data collection, access, and use across early education, K-12, postsecondary, and the workforce. As in 2023, legislators continued to introduce and enact legislation governing cross-agency data systems. These policies are the most important step toward making statewide…
Descriptors: State Legislation, Early Childhood Education, Elementary Secondary Education, Labor Force
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
Ruedel, Kristin; Kuchle, Laura Berry; Bailey, Tessie – National Center for Systemic Improvement at WestEd, 2021
Developing a solid foundational knowledge of data literacy is integral to building role-specific knowledge and building capacity of educators to use and apply these skills appropriately. However, the definition of data literacy is inconsistent and often too narrowly applied within the field of education. National experts and technical assistance…
Descriptors: Information Literacy, Data, Capacity Building, Definitions
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Hillman, Velislava – Learning, Media and Technology, 2023
The need for a comprehensive education data governance -- the regulation of who collects what data, how it is used and why -- continues to grow. Technologically, data can be collected by third parties, rendering schools unable to control their use. Legal frameworks partially achieve data governance as businesses continue to exploit existing…
Descriptors: Data Collection, Governance, Data Use, Laws
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Towse, John; Davies, Rob; Ball, Ellie; James, Rebecca; Gooding, Ben; Ivory, Matthew – Journal of Statistics and Data Science Education, 2022
We advocate for greater emphasis in training students about data management, within the context of supporting experience in reproducible workflows. We introduce the "L"ancaster "U"niversity "ST"atistics "RE"sources (LUSTRE) package, used to manage student research project data in psychology and build…
Descriptors: Data Analysis, Information Management, Open Source Technology, Data Science
Data Quality Campaign, 2022
Each year, state legislators craft new policies that drive data use across their states, and as part of a comprehensive review of state education data legislation, the Data Quality Campaign (DQC) keeps track. In 2022, state legislators introduced 131 bills in 35 states--42 of which became law in 17 states-- that would govern the use of data along…
Descriptors: Privacy, State Legislation, Student Records, Confidentiality
National Forum on Education Statistics, 2021
In spring 2020, nearly all school districts across the nation transitioned to virtual education during extended school closures caused by the coronavirus disease (COVID-19) pandemic. K-12 education agencies pivoted to virtual education in a short amount of time with limited options available for developing a virtual education program. This…
Descriptors: Electronic Learning, Elementary Secondary Education, Data Collection, Data Use
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Andrew J. Collins; Christopher Lynch; Jim Leathrum; Gayane Grigoryan; T. Stephen Cotter; Ross Gore; Brandon Butler – Adult Learning, 2025
Higher education programs are rapidly transitioning online in support of a broader geographic base, working professionals, and, recently, emergency contingencies such as COVID-19. The flexibility of online courses makes them attractive to adult learners; as such, there is much academic discussion about online learning for adult learners and the…
Descriptors: Minicourses, Online Courses, Adult Students, Professional Education
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
Achieving the Dream, 2020
In 2019, Nebraska Indian Community College (NICC) joined the National Student Clearinghouse Postsecondary Data Partnership (PDP). This technical brief will discuss an approach to prepare Postsecondary Data Partnership (PDP) data collections that consist of the development of both term cohort files and course files. The process utilized course and…
Descriptors: Community Colleges, Tribally Controlled Education, American Indian Education, American Indian Students
Data Quality Campaign, 2021
The 2020 election brought about legislative change across the country. New and veteran policymakers need information about the schools in their state. What programs are the most cost effective and work best for students? How can states attract and retain great teachers? What information do parents need to ensure that their kids are on track to…
Descriptors: Educational Policy, Policy Formation, Data Collection, Data Analysis
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