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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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Tebeck, Claudette – Science Teacher, 2021
School closures in the wake of the COVID-19 pandemic led to kids asking pertinent questions about why they were not in school, especially some students suffering financial hardship. Virtual classrooms became the mundane venues for students to piece together the pandemic puzzle and unpack unseen inequities. This article examines disparities that…
Descriptors: COVID-19, Pandemics, Racial Differences, Science Instruction
National College Attainment Network, 2021
COVID-19 has exacerbated existing equity gaps and made college persistence even more difficult for students with less access to resources and opportunities than their White or wealthier peers. Altogether, these challenges require organizations to establish new approaches to engaging college students and monitoring their academic progress and…
Descriptors: Success, Access to Education, Educational Attainment, Capacity Building
Ben Bryant; Simon Day – UK Department for Education, 2023
This research was commissioned as part of Inclusive Britain, the government response to the Commission on Race and Ethnic Disparities (CRED). The research sought to answer three main questions: (1) Where schools and trusts have closed attainment gaps between pupils from different ethnic groups, has this been the result of a deliberate strategy…
Descriptors: School Role, Achievement Gap, Racial Differences, Ethnicity
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Douglas B. Downey – Review of Educational Research, 2024
A small subset of education studies analyzes school data collected seasonally (separating the summer from the school year). At first, this work was primarily known for documenting learning loss in the summers, but scholars have since recognized that observing how inequality changes between summer and school periods provides leverage for…
Descriptors: Data Collection, Educational Research, Learning Analytics, Cognitive Ability
Byon, Anna – Institute for Higher Education Policy, 2020
Asian American and Pacific Islander (AAPI) communities are growing at a faster rate than any other racial group in the United States. The opportunity to address significant inequities impacting this community is hiding in our country's postsecondary data. Collections of data at the U.S. Department of Education and our institutions of higher…
Descriptors: Federal Government, Data Collection, Asian Americans, Pacific Islanders
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
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Fu, Shuang; King, Kendall – Discourse: Studies in the Cultural Politics of Education, 2021
This paper examines recent political debates surrounding data disaggregation in education policy in one US state, and analyses the discourses taken up by supporters and opponents of these policies. Analysis suggests how discourses move across time and space, and focuses on how these discourses are contextualized and entextualized in social media,…
Descriptors: Civil Rights, Ethnic Groups, Political Attitudes, Educational Policy
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Rogaten, Jekaterina; Rienties, Bart Carlo – Higher Education Pedagogies, 2018
With the introduction of the Teaching Excellence Framework a lot of attention is focussed on measuring learning gains. A vast body of research has found that individual student characteristics influence academic progression over time. This case-study aims to explore how advanced statistical techniques in combination with Big Data can be used to…
Descriptors: STEM Education, Data Collection, Data Analysis, Higher Education
Coburn, Katrina; Keating, Kim; Jennings-Shaffer, Jennifer – ZERO TO THREE, 2021
This article explores the many ways in which states can and are addressing racial equity in problem solving and policymaking. The authors explore national data that make the case for addressing bias and advancing equity in state policy; share strategies and best practices for engaging families and communities; and provide examples of policies that…
Descriptors: Racial Bias, Equal Education, State Policy, Best Practices
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Robert, Catherine; Okilwa, Nathern S. A. – Global Education Review, 2022
Research demonstrates harmful effects of disparate discipline practices on outcomes for students of color. The Office of Civil Rights (OCR), under the Obama administration, significantly increased investigations under the mandate of Title VI. In this study, we examine OCR's investigation of Oakland Unified School District (OUSD) to establish the…
Descriptors: Discipline Policy, School Districts, Minority Group Students, African American Students
Advance CTE: State Leaders Connecting Learning to Work, 2022
Early postsecondary opportunities (EPSOs) provide more than 5.5 million secondary learners annually an intentionally designed authentic postsecondary experience (such as dual or concurrent enrollment) leading to college credit that counts toward a recognized postsecondary degree or credential. Career Technical Education (CTE) courses make up…
Descriptors: Vocational Education, Postsecondary Education, Secondary School Students, Dual Enrollment
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Coleman, Chad; Baker, Ryan S.; Stephenson, Shonte – International Educational Data Mining Society, 2019
Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…
Descriptors: Prediction, At Risk Students, Predictor Variables, Elementary Secondary Education
Angela N. Givhan – ProQuest LLC, 2019
The purpose of this study was twofold. The first purpose was to analyze exit data collection systems in Mississippi school districts (including a content analysis of the instruments used to collect exit data) to determine how many districts collected data from exiting teachers. The second purpose was to examine teacher characteristics (race,…
Descriptors: Teacher Persistence, Faculty Mobility, Data Collection, Content Analysis
Rhett Nelson – Washington Office of Superintendent of Public Instruction, 2024
The Office of Superintendent of Public Instruction (OSPI) is required by RCW 28A.250.040 to report annually on online learning. This report uses data extracted from the Comprehensive Education Data and Research System (CEDARS). Key findings from the 2022-2023 school year include: (1) More students accessed online courses and more schools and…
Descriptors: Accountability, Online Courses, Educational Technology, Technology Uses in Education
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