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Mengnan Li – New Zealand Council for Educational Research, 2024
This is the fifth annual report that NZCER has prepared for the Sorted in Schools, Te whai hua--kia ora programme, a financial literacy programme for secondary school students, led by Te Ara Ahunga Ora Retirement Commission. In 2024, our focus is to explore how Sorted in Schools is used and valued in English-medium educational settings. We used a…
Descriptors: Secondary School Students, Financial Literacy, Foreign Countries, Program Effectiveness
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Javiera Atenasa; Leo Havemannb; Chrissi Nerantzi – Research in Learning Technology, 2024
This paper offers guidance on employing open and creative methods for co- designing critical data and artificial intelligence (AI) literacy spaces and learning activities, rooted in the principles of Data Justice. Through innovative approaches, we aim to enhance participation in learning, research and policymaking, fostering a comprehensive…
Descriptors: Artificial Intelligence, Data, Literacy, Teaching Methods
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Nicole Maestas; Tisamarie B. Sherry; Alexander Strand – Journal of Disability Policy Studies, 2024
Opioid use is common among Social Security Disability Insurance (SSDI) beneficiaries, who account for a disproportionate share of opioid-related hospitalizations and mortality in the United States. However, little is known about the prevalence of opioid use prior to SSDI enrollment. Understanding when opioid use is established and how it…
Descriptors: Drug Use, Narcotics, Welfare Services, Insurance
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Xuelin Liu; Hua Zhang; Yue Cheng – International Journal of Web-Based Learning and Teaching Technologies, 2024
In this article, a dialogue text feature extraction model based on big data and machine learning is constructed, which transforms the high-dimensional space of text features into the low-dimensional space that is easy to process, so that the best feature words can be selected to represent the document set. Tests show that in most cases, the…
Descriptors: Artificial Intelligence, Data, Text Structure, Classification
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Dan Shen; Wenjia Zhao – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of internet technology, big data has been used to evaluate the singing and pronunciation quality of vocal students. However, current methods have several problems such as poor information fusion efficiency, low algorithm robustness, and low recognition accuracy under low signal-to-noise ratio. To address these issues, this…
Descriptors: Data, Music Education, Pronunciation, Singing
R. Goerge; T. Tran; L. Gjertson; D. McQuown – Chapin Hall at the University of Chicago, 2024
This technical brief contains information about data sources and methodology for the Illinois Child Care Assistance Program (CCAP) three-part brief series focused on the employment and earnings of parents participating in the CCAP program.
Descriptors: Child Care, Data, Employed Parents, Wages
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Kim, Young Ae; Monroe, Emily; Nielsen, Hayley; Cox, Jonathan; Southard, Katelyn M.; Elfring, Lisa; Blowers, Paul; Talanquer, Vicente – Journal of Chemical Education, 2020
Formative assessment has been proven to be highly effective in improving student understanding. Nevertheless, many instructors struggle to engage in this practice, particularly when working in large-enrollment classrooms. To facilitate and foster the implementation of formative assessment in chemistry courses, undergraduate students at our…
Descriptors: Undergraduate Students, Ability, Data Collection, Data Interpretation
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Ho, Andrew D. – AERA Open, 2020
The Stanford Education Data Archive (SEDA) launched in 2016 to provide nationally comparable, publicly available test score data for U.S. public school districts. I introduce a special collection of six articles that each use SEDA to lend their questions and findings a national scope. Together, these articles demonstrate a range of uses of SEDA…
Descriptors: Archives, Scores, Public Schools, School Districts
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Williams, Tamara; Cheng, Xiaoyue; Majumder, Mahbubul; Hastings, Matt; Suh, Hongwook; Dash, Kunal; Yeo, Jian Ju – School Community Journal, 2020
Big data is a unique field of study which requires specialized analytics. The field of education has a lot of data: individual student test scores, attendance, behavior, and demographic data are just some of the regularly collected information year after year. Individual student data across an entire state over several years quickly becomes big…
Descriptors: Data, Elementary Secondary Education, Data Analysis, Cooperation
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Campbell, Rebecca; Goodman-Williams, Rachael; Feeney, Hannah; Fehler-Cabral, Giannina – American Journal of Evaluation, 2020
The purpose of this study was to develop triangulation coding methods for a large-scale action research and evaluation project and to examine how practitioners and policy makers interpreted both convergent and divergent data. We created a color-coded system that evaluated the extent of triangulation across methodologies (qualitative and…
Descriptors: Mixed Methods Research, Action Research, Data Interpretation, Coding
Daugherty, Lindsay – Grantee Submission, 2020
"Stackable credential programs" are designed to make it easier for students to earn multiple postsecondary certificates or degrees in a field as they advance in their careers. To examine the stacking of credentials in Ohio and inform ongoing efforts to scale stackable credential programs, the Ohio Department of Higher Education and the…
Descriptors: Data Use, Educational Improvement, Postsecondary Education, Credentials
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Florin D. Salajan; Tavis D. Jules – International Perspectives on Education and Society, 2020
Over the past few years, "assemblage theory or assemblage thinking" has garnered increasing attention in educational research, but has been used only tangentially in explications of the nature of comparative and international education (CIE) as a field. This conceptual examination applies an assemblage theory lens to explore the contours…
Descriptors: Comparative Education, International Education, Interdisciplinary Approach, Scholarship
Chelsea McCracken; Ruby MacDougall – ITHAKA S+R, 2025
Research data services--support offerings which enable and improve data-intensive research--have garnered sustained attention from library research support service providers for nearly two decades. Libraries have played a leading role in developing research data services, and on most university campuses they provide the largest and most diverse…
Descriptors: Researchers, Data Analysis, Research Methodology, Universities
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Lauren Brodsky; Anastasiia Iun; Alexis Ervin; Amy L. Cook; Melissa Pearrow – Journal of Educational and Psychological Consultation, 2025
The National Association of School Psychology recognizes the role that family engagement holds on school functioning and student outcomes. This article describes a qualitative study using constructivist grounded theory to explore systems-level family engagement practices in urban schools that implemented a Comprehensive Behavioral Health Model…
Descriptors: Family Involvement, Elementary Schools, Urban Schools, Systems Approach
André A. Rupp; Laura Pinsonneault – National Center for the Improvement of Educational Assessment, 2025
State education agencies are sitting on rich repositories of quantitative and qualitative assessment data. This document is designed to provide a conceptual framework and implementation guidance that can help agency leadership leverage and interrogate student performance data in systematic ways for reporting, outreach, and planning purposes. The…
Descriptors: Evaluation Methods, Educational Assessment, Achievement Tests, College Entrance Examinations
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