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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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Cominole, Melissa; Ritchie, Nichole Smith; Cooney, Jennifer – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…
Descriptors: Bachelors Degrees, College Graduates, Longitudinal Studies, Data Collection
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
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Van Duser, Kyle Eric; Tanabe, Clifton S. – Journal of College Student Retention: Research, Theory & Practice, 2021
This study employed propensity score matching and regression analysis to determine whether or not a retention scholarship pilot program at a mid-size public research university was effective at increasing first-year retention. The scholarship pilot did not require any application process for students but rather used a predictive logistic…
Descriptors: Prediction, Data Analysis, Student Financial Aid, School Holding Power
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Juan Pablo Salazar-Fernandez; Jorge Munoz-Gama; Marcos Sepúlveda – Higher Education: The International Journal of Higher Education Research, 2025
Understanding how students with low socioeconomic status finance their tuition over time can help us comprehend the impact of students' decisions on their subsequent curricular progress, graduation, or dropout. This work presents a curricular analytics approach using process mining techniques to study educational funding trajectories as processes.…
Descriptors: Scholarships, Merit Scholarships, Student Needs, Learning Trajectories
Kathryn A. Larin – US Government Accountability Office, 2025
The U.S. Department of Agriculture (USDA) and the Department of Education have taken some steps to connect college students with Supplemental Nutrition Assistance Program (SNAP) benefits to help them pay for food, but gaps in planning and execution remain. Effective July 2024, a new law gave Education authority to share students' Free Application…
Descriptors: Nutrition, Federal Programs, Welfare Services, College Students
Office of Inspector General, US Department of Education, 2023
In accordance with the Reports Consolidation Act of 2000, the OIG reports annually on the most serious management and performance challenges the Department faces. For FY 2024, we identified seven management challenges for the Department: (1) Implementing pandemic relief laws for elementary and secondary education; (2) Implementing pandemic relief…
Descriptors: Federal Programs, Educational Finance, Student Financial Aid, Pandemics
Sommo, Colleen; Lepe, Marco; Ratledge, Alyssa – MDRC, 2022
Open-access colleges are an important pathway to economic mobility for millions of Americans. But graduation rates at these colleges are low--for example, only 36 percent of first-time, full-time freshmen at community colleges graduate within three years. Over the last two decades, MDRC and others have conducted research to build the evidence base…
Descriptors: COVID-19, Pandemics, Academic Support Services, Student Financial Aid
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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
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Jennifer Wine; Beth Hustedt; Jennifer Cooney; Erin Thomsen – National Center for Education Statistics, 2023
This report describes the design, methods, and results of the 2016/20 Baccalaureate and Beyond Longitudinal Study (B&B:16/20) conducted by the U.S. Department of Education's National Center for Education Statistics (NCES). It is the second follow-up with a cohort of bachelor's degree recipients originally identified during the 2015-16 National…
Descriptors: Longitudinal Studies, College Graduates, Bachelors Degrees, College Students
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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
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Phan, Vinhthuy; Wright, Laura; Decent, Bridgette – Journal of Educational Data Mining, 2022
The allocation of merit-based awards and need-based aid is important to both universities and students who wish to attend the universities. Current approaches tend to consider only institution-centric objectives (e.g. enrollment, revenue) and neglect student-centric objectives in their formulations of the problem. There is lack of consideration to…
Descriptors: Student Financial Aid, Access to Education, Merit Scholarships, Artificial Intelligence
Nikolaj Broberg; Gillian Golden – OECD Publishing, 2023
Module A of the OECD Higher Education Policy Survey (HEPS) 2022 elicited information on policies to promote digitalisation of higher education in OECD member and accession countries. In total, 30 jurisdictions responded, providing comparative information on various areas of digitalisation policy, from regulation and governance to financial and…
Descriptors: Higher Education, Educational Policy, Technology Uses in Education, Foreign Countries
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Rouhi, Amir H. – Universal Journal of Educational Research, 2018
Over the past 25 years, performance measurement has gained salience in higher education, and with the explosion of structured data and the impact of business analytics and intelligence systems, there are new angles by which big volumes of data can be analyzed. Using traditional analytical approaches, pairs of reciprocal cohorts are considered as…
Descriptors: Student Financial Aid, Higher Education, Performance Based Assessment, Comparative Analysis
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Cao, Xuan; Wang, Yong – Journal of Education and Practice, 2016
China has made great improvement on subsidizing poverty-stricken students, but the current approaches of granting subsidies is not scientific or humane. Poverty-stricken students who couldn't get sufficient subsidies in suitable ways need some new and more scientific granting approaches, which inspires me to go about this study. The approach, we…
Descriptors: Foreign Countries, College Students, Grants, Poverty
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