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Cara Giacomini; Deborah Trumble; Divya Krishnaswamy; Jacqueline King – Council for Advancement and Support of Education, 2024
How, and to what extent, are advancement professionals integrating artificial intelligence (AI) into their work? What do they view as the primary opportunities presented by this new technology, and what are their concerns regarding its use? To answer these questions, the Council for Advancement and Support of Education (CASE) and GiveCampus…
Descriptors: Institutional Advancement, Artificial Intelligence, Nonprofit Organizations, Schools
Autenrieth, Maximilian; Levine, Richard A.; Fan, Juanjuan; Guarcello, Maureen A. – Journal of Educational Data Mining, 2021
Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…
Descriptors: Probability, Artificial Intelligence, Educational Research, Statistical Bias
Sallie Mae Bank, 2025
This report examines how enrolled undergraduate students and parents of undergraduates view higher education and how they pay for it. The report considers education funding sources--from parent and student income and savings to scholarships, grants, and borrowed funds--and evaluates trends in payment strategies over time. This 18th edition builds…
Descriptors: Paying for College, Undergraduate Students, Parents, Student Financial Aid
Andrew Walker, Contributor; Katherine Bao, Contributor; Kun Yuan, Contributor; Sabrina White, Contributor – Graduate Management Admission Council, 2024
The annual Application Trends Survey from the Graduate Management Admission Council (GMAC) provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. This year's report begins with information from new survey questions about artificial…
Descriptors: College Applicants, Business Education, Graduate Study, Masters Programs
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Board of Governors, State University System of Florida, 2024
The Accountability Plan is an annual report that is closely aligned with the Board of Governors' 2025 System Strategic Plan. This report enhances the System's commitment to accountability and strategic planning by fostering greater coordination between institutional administrators, University Boards of Trustees and the Board of Governors regarding…
Descriptors: State Universities, Accountability, Educational Finance, Enrollment
Andrew Walker; Quan Yuan, Contributor; Kun Yuan, Contributor; Sabrina White, Contributor – Graduate Management Admission Council, 2025
For more than 15 years, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. Its questions--covering a diverse range of topics that impact…
Descriptors: Business Schools, Business Education, Graduate Students, Student Financial Aid
Graduate Management Admission Council, 2025
For more than a decade, the GMAC Prospective Students Survey (PSS) has provided the world's graduate business schools with critical insights into the decision-making processes of people actively applying to, considering, or researching graduate management education (GME) programs. This year's report, summarized in this report, considers data…
Descriptors: Business Schools, Business Education, Graduate Students, Student Financial Aid
Ruffalo Noel Levitz, 2021
High school students nationwide spent the whole academic year fully online or in and out of a cobbled together hybrid format. While these students are digital naturals, they were asked to do even more online and lost opportunities to engage traditional in-person milestones like prom, graduation, and college visits. After a year of "Zooming it…
Descriptors: High School Students, COVID-19, Pandemics, Educational Technology
Ruffalo Noel Levitz, 2019
Digital engagement is the most important strategy for engaging Generation Z, but what are the right solutions and strategies to maximize engagement with this crucial target market? Which approaches align with the expectations of the students colleges are trying to reach? And more importantly, how can a college make its institution's unique brand…
Descriptors: High School Students, Student Recruitment, College Choice, Search Strategies

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