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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
Universities UK, 2010
This report presents an analysis of the diversity of income streams in UK higher education institutions (HEIs) at a time when the sector is facing considerable uncertainty. The research was conducted over a six-week period from March to April 2010 and, as such, it predated the establishment of the new Coalition Government in the UK. In the period…
Descriptors: Higher Education, Foreign Countries, Income, Economic Impact
Peer reviewed Peer reviewed
Elliott, William F. – New Directions for Institutional Research, 1980
As tuition charges increase and more students are eligible for financial aid, colleges must develop a concrete strategy to manage financial aid resources. Mechanisms to help financial aid officers effectively utilize aid resources in enrolling students are discussed. Mathematical formulas and calculations are included. (Author/JMD)
Descriptors: Decision Making, Educational Finance, Enrollment Influences, Higher Education
PDF pending restoration PDF pending restoration
Boughan, Karl – 1990
In early 1990, Prince George's Community College (PGCC), in response to declining enrollments, developed an affordable and locally effective geo-demographic cluster system for meeting the college's research and marketing needs. The system, dubbed "PG-TRAK," is based on a model developed 15 years ago as a corporate marketing tool, and involves…
Descriptors: Census Figures, Cluster Analysis, Community Characteristics, Community Colleges
Boughan, Karl – 1990
In an effort to better market the college's credit programs and services, Prince George's Community College (PGCC), Mayland, has employed its own tracking system which utilizes a socioeconomic segmentation of their serviceable target population. This approach utilizes U.S. Census data grouping neighborhoods into 24 natural socioeconomic, cultural…
Descriptors: Cluster Analysis, Community Characteristics, Community Colleges, Credit Courses
Boughan, Karl – 1991
In an effort to better market the college's programs and services, Prince George's Community College (PGCC), Maryland, has employed its own tracking system which utilizes a socioeconomic segmentation of their serviceable target population. This approach utilizes U.S. Census data grouping neighborhoods into natural socioeconomic, cultural, and…
Descriptors: Cluster Analysis, Community Colleges, Continuing Education, Course Selection (Students)