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Polyzou, Agoritsa; Nikolakopoulos, Athanasios N.; Karypis, George – International Educational Data Mining Society, 2019
Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…
Descriptors: Markov Processes, Course Selection (Students), Undergraduate Students, Decision Making
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Qin, Lu; Phillips, Glenn Allen – International Journal of Higher Education, 2019
The 3-year graduation rate is a rarely measured metric in higher education compared to its 4- or 6- year graduation rate counterparts. For the first time in college (FTIC) students to graduate in three years, they must come with certain skills, abilities, plans, supports, or motivations. This project considers two distinct but interrelated ways of…
Descriptors: Graduation Rate, Time to Degree, College Credits, Grade Point Average
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
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Dillingham, Reginald T.; Breffle, William S.; Kelly, Matthew C. – Journal of Marketing for Higher Education, 2018
Increasing enrollment in undergraduate and graduate economics courses that focus on the natural world (natural resource, environmental, energy, and mineral economics) is important for preparing a work force capable of addressing complex environmental issues. This is especially challenging for smaller universities that want to offer diverse…
Descriptors: Economics Education, Multivariate Analysis, Models, Case Studies
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Kot, Felly Chiteng – Research in Higher Education, 2014
To enhance student success, many colleges and universities have expanded academic support services and programmatic interventions. One popular measure that has been recognized as critical to student success is academic advising. Many institutions have expanded advising by creating centralized units staffed with professional advisors who serve…
Descriptors: College Freshmen, Enrollment, Intervention, Academic Support Services
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DesJardins, Stephen L.; McCall, Brian P. – Review of Higher Education, 2010
This study investigates the impact that different financial aid packages have on student stopout, reenrollment, and graduation probabilities. The authors simulate how various financial aid packaging regimes affect the occurrence and timing of these events. Their findings indicate that the number and duration of enrollment and stopout spells affect…
Descriptors: Stopouts, Graduation, Probability, Student Financial Aid
Sugrue, Paul K. – Journal of Student Financial Aid, 2010
The allocation of merit-based financial aid during the college admissions process presents postsecondary institutions with complex and financially expensive decisions. This article describes the application of linear programming as a decision tool in merit based financial aid decisions at a medium size private university. The objective defined for…
Descriptors: Private Colleges, Mathematical Applications, Student Financial Aid, College Admission
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Shapiro, Joel; Bray, Christopher – Continuing Higher Education Review, 2011
This article describes a model that can be used to analyze student enrollment data and can give insights for improving retention of part-time students and refining institutional budgeting and planning efforts. Adult higher-education programs are often challenged in that part-time students take courses less reliably than full-time students. For…
Descriptors: Higher Education, Adult Students, Part Time Students, Enrollment Trends
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Miller, Thomas E.; Herreid, Charlene H. – College and University, 2009
This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and…
Descriptors: Regression (Statistics), College Students, Higher Education, Student Attrition
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DesJardins, Stephen L.; Ahlburg, Dennis A.; McCall, Brian Patrick – Journal of Higher Education, 2006
We jointly model the application, admission, financial aid determination, and enrollment decision process. We find that expectations of admission affect application probabilities, financial aid expectations affect enrollment and application behavior, and deviations from aid expectations are strongly related to enrollment. We also conduct…
Descriptors: Probability, Student Financial Aid, Enrollment, College Admission
Denham, Carolyn H. – Journal of Educational Data Processing, 1973
A major problem in most predictions of school enrollment is the forecaster's failure to express adequately his certainty or uncertainty in his estimates. Describes a method whereby a forecaster can prepare probability distributions of enrollment predictions. The Monte Carlo computer simulation calculates enrollments by the multivariable method,…
Descriptors: Computer Oriented Programs, Data Analysis, Enrollment, Futures (of Society)
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Seneca, Joseph J.; Taussig, Michael K. – Research in Higher Education, 1987
An empirical model of the enrollment decision for students admitted both to Rutgers University and to at least one alternate college is described. Students base their enrollment decision on the relative quality of the schools, their own abilities and family resources, and the net costs of the schools. (Author/MLW)
Descriptors: College Bound Students, College Choice, Decision Making, Educational Finance