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National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
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Enid Zambrana, Ruth; Amaro, Gabriel; Butler, Courtney; DuPont-Reyes, Melissa; Parra-Medina, Deborah – Health Education & Behavior, 2021
Introduction: Prior to 1980, U.S. national demographic and health data collection did not identify individuals of Hispanic/Latina/o heritage as a population group. Post-1990, robust immigration from Latin America (e.g., South America, Central America, Mexico) and subsequent growth in U.S. births, dynamically reconstructed the ethnoracial lines…
Descriptors: Data Analysis, Data Collection, Demography, Hispanic Americans
Hunt Institute, 2022
From Fall 2019 through Spring 2020, The Hunt Institute released a series of policy briefs, "Attainment for All: Postsecondary Pathways," that highlighted scalable state-level strategies to boost postsecondary attainment rates among specific student subpopulations including high school graduates, first-generation students, and adult…
Descriptors: Educational Attainment, Postsecondary Education, Equal Education, Access to Education
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Maxwell, Bronwen; Stevens, Anna; Demack, Sean; Coldwell, Mike; Wolstenholme, Claire; Reaney-Wood, Sarah; Stiell, Bernadette; Lortie-Forgues, Hugues – Education Endowment Foundation, 2021
The Education Endowment Foundation (EEF)'s mission is to break the link between family income and educational achievement. This is achieved through summarising the best available evidence in plain language, generating new evidence of 'what works' to improve teaching and learning, and supporting teachers and school leaders to use research evidence…
Descriptors: Foreign Countries, Disadvantaged Youth, Elementary School Students, Secondary School Students
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
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Howell, Parker S.; Howell, Scott L. – Online Journal of Distance Learning Administration, 2018
The National Student Clearinghouse (NSC) has available for research a large data warehouse of enrollment and graduation information from 1993 to the present for nearly all postsecondary students in the United States. In this most recent academic year, 18 million currently enrolled students alone were added to the database. Some of the following…
Descriptors: Databases, Clearinghouses, Strategic Planning, Marketing
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Kastberg, David; Murray, Gordon; Ferraro, David; Arieira, Carlos; Roey, Shep; Mamedova, Saida; Liao, Yuqi – National Center for Education Statistics, 2021
The Program for International Student Assessment Young Adult Follow-up Study (PISA YAFS) is a follow-up study with students who participated in PISA 2012 in the United States. The study is designed to measure how performance on PISA 2012 relates to subsequent measures of outcomes and skills of young adults on an online assessment, Education and…
Descriptors: Foreign Countries, Achievement Tests, Secondary School Students, Young Adults
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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
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Wilks, Judith; Kennedy, Gillian; Drew, Neil; Wilson, Katie – Australian Universities' Review, 2018
In the Australian higher education sector, the challenges to successful engagement and retention experienced by Aboriginal and/or Torres Strait Islander students and communities are considerable. They persist despite many well-intentioned attempts to address this issue and to strengthen equity in participation in the sector. Implicated in this is…
Descriptors: Foreign Countries, Indigenous Populations, Academic Persistence, Higher Education
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
Foley, Paul – National Centre for Vocational Education Research (NCVER), 2016
The topic of more frequent and timely vocational education and training (VET) data has been an issue of interest for a number of years. Since 2015, the National Centre for Vocational Education Research (NCVER) has collected and reported data on government-funded students and courses on a quarterly basis. These quarterly data submissions are…
Descriptors: Vocational Education, Reports, Foreign Countries, Data Collection
Kriechel, Ben; Vetter, Tim – European Training Foundation, 2019
This report focuses on a critical concern for the European Training Foundation's (ETF's) partner countries and other countries of the around the world. Skills mismatch is recognised as a major challenge by policy makers, practitioners and social partners, as it is often associated with dynamic social and economic contexts such as restructuring…
Descriptors: Foreign Countries, Job Skills, Labor Market, Supply and Demand
Washington Student Achievement Council, 2017
Students come to college with skills and knowledge acquired through work, military, and other experiences. Academic credit for prior learning is awarded when a student's prior learning is assessed and found to be the equivalent of specific college course outcomes, and when the award of credit is consistent with the policies of the institution.…
Descriptors: College Credits, Prior Learning, College Students, Knowledge Level
Nguyen, Bach Mai Dolly; Nguyen, Mike Hoa; Teranishi, Robert T.; Hune, Shirley – Educational Testing Service, 2015
Utilizing disaggregated data from the Office of the Superintendent of Public Instruction (OSPI) and the Educational Research Data Center (ERDC), this report offers a deeper and more nuanced perspective on the educational realities of Asian Americans and Pacific Islander (AAPI) students and reinforces the need for disaggregated data to unmask the…
Descriptors: Asian American Students, Pacific Islanders, Student Needs, Educational Opportunities
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Baum, Sandy; Cunningham, Alisa; Tanenbaum, Courtney – Change: The Magazine of Higher Learning, 2015
The level of educational attainment in the United States is a central focus of public policy. The Obama administration, some states, large national foundations, and other organizations have set near-term goals to increase the number of Americans with college degrees. Achieving these goals is likely to involve a combination of increasing…
Descriptors: Educational Attainment, Higher Education, Educational Policy, Goal Orientation
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