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Kearney, Christopher A.; Childs, Joshua – Preventing School Failure, 2023
School attendance/absenteeism (SA/A) is a crucial indicator of health and development in youth but educational policies and health-based practices in this area rely heavily on a simple metric of physical presence or absence in a school setting. SA/A data suffer from problems of quality (reliability, construct validity, data integrity) and utility…
Descriptors: Attendance, Educational Policy, Health, Improvement
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Dan Goldhaber; Grace T. Falken; Roddy Theobald; Maia Goodman Young – Education Next, 2024
This article evaluates the applicability at the state and district level of web scraping--an automated data-extraction technique that regularly exports and refreshes data from the Internet--to provide a low-cost way to get a close-to-real-time snapshot of the demand side of the teacher labor market. Once set up, web scraping can quickly build and…
Descriptors: Teacher Shortage, Data Collection, Teacher Supply and Demand, Labor Market
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Madsen, Miriam – Journal of Education Policy, 2021
The increased use of quantitative education data is often regarded by scholars as evidence of the emergence of 'governing by numbers'. These scholars ascribe major stakeholders such as the OECD and nation states agency as they produce, distribute and consume data, and respond to these with policy and management initiatives. This paper argues that…
Descriptors: Measurement, Evaluation Methods, Qualitative Research, Data Analysis
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Giorgio Di Pietro – European Education, 2023
We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…
Descriptors: Student Characteristics, Barriers, Student Mobility, Foreign Countries
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Bernstein, Sima; Barnett, W. Steven; Ackerman, Debra J. – National Institute for Early Education Research, 2019
Because pre-academic and social-emotional capabilities at kindergarten entry predict later academic and social success, there has been great concern with the level of "readiness" at kindergarten entry. Many states require a kindergarten readiness assessment (KRA). However, how readiness is defined, who or what entity is doing the…
Descriptors: School Readiness, Kindergarten, Definitions, Student Characteristics
Roegman, Rachel; Samarapungavan, Ala; Maeda, Yukiko; Johns, Gary – Educational Leadership, 2019
The "Every Student Succeeds Act" requires that student's test scores be disaggregated by racial characteristics. Nevertheless, the author's recent study suggests that K-12 school principals may not intentionally think about race when they collect, interpret, analyze, and make decisions about data. By not disaggregating data by race,…
Descriptors: Elementary Secondary Education, Race, Data Collection, Data Analysis
National Centre for Vocational Education Research (NCVER), 2019
This report covers Commonwealth and state/territory government-funded training (Commonwealth or state recurrent funding, Commonwealth specific purpose funding or state specific funding). This publication provides a summary of data relating to estimated students, programs, subjects and training providers in Australia's government-funded vocational…
Descriptors: Foreign Countries, Vocational Education, Federal Aid, Federal Programs
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Colosimo, Amanda B.; Barone, Jessica L.; Flick, Lisa – New Directions for Community Colleges, 2022
Inspired by the SAGE 2YC project, we, the authors, examined course outcome data by demographics, which led to engagement of faculty across campus. Although our introductory-level geology course had one of the highest "C or better" rates in the institution, when we examined course success by demographics, significant racial inequities…
Descriptors: Outcomes of Education, Data, Communities of Practice, Geology
Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
Emerging practices in both K-12 and higher education hold great promise in the establishment of equity frameworks. The use of finely disaggregated data, the effort to track additional student groups, and related work, all help to establish policies and tools to monitor the impact of reform efforts to address inequities. State programs and…
Descriptors: Equal Education, State Programs, African American Students, Hispanic American Students
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Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin – Educational Psychology Review, 2021
Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…
Descriptors: Individualized Instruction, Instructional Effectiveness, Instructional Design, Student Characteristics
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Kipton D. Smilie – Paedagogica Historica: International Journal of the History of Education, 2025
In the 1930s schooling in the United States underwent fundamental transformations, ultimately responding to the profound social, economic, and technological changes taking place in the early decades of the twentieth century. Students' social and emotional health needed support, especially for entry into a rapidly changing nation and world. One…
Descriptors: Educational History, Professional Autonomy, Data Collection, Student Characteristics
Peace Bransberger – Western Interstate Commission for Higher Education, 2024
Postsecondary education leaders are eager for reliable data to strategically plan for the next year through the next decade, and WICHE's projections of high school graduates are among the most relied upon sources. As WICHE has reported several times since the pandemic began, the disruption to student populations was illustrated with the shift of…
Descriptors: Postsecondary Education, Elementary Secondary Education, Academic Achievement, Student Characteristics
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Rodriguez, Luis A.; Welsh, Richard O. – AERA Open, 2022
The school discipline literature has expanded rapidly in recent decades, yet the conceptualization and measurement of school discipline patterns remains overlooked. In this paper, we present a comprehensive analytic framework to examine school discipline patterns that encompasses school-level metrics that capture the prevalence and disparity in…
Descriptors: Discipline, Outcomes of Education, Incidence, Expulsion
National Centre for Vocational Education Research (NCVER), 2018
This publication provides a summary of data relating to students, programs, subjects, and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government-funded training). Data for the Government-funded students and courses series are received by the…
Descriptors: Foreign Countries, Vocational Education, Federal Aid, Federal Programs
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