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Angelique Saweczko – Strategic Enrollment Management Quarterly, 2024
The relationship between central and academic units can cause tension within an institution as there is a desire to define ownership over activities, policies, and processes associated with enrollment management (e.g., recruitment, admissions, academic scheduling). This article proposes a new enrollment planning model that can be used to navigate…
Descriptors: Enrollment Management, Models, Higher Education, Educational Cooperation
Kye, Anna – ProQuest LLC, 2023
Every year, the national high school graduation rate is declining and impacting the number of students applying to colleges. Moreover, the majority of students are applying to more than one college. This makes a lot of colleges to be highly competitive in student recruitment for enrollment and thus, the necessity for institutions to anticipate…
Descriptors: Comparative Analysis, Classification, College Enrollment, Prediction
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Balayan, Ariana; Connor, Christopher; LaFave, Joshua – Strategic Enrollment Management Quarterly, 2022
Enrollment management (EM) has been a focus of higher education since the 1970s. There is a large base of empirical research on EM, a coordinated effort to support undergraduate students from admission to graduation that has been widely researched. However, there is limited academic research on graduate enrollment management (GEM). What is missing…
Descriptors: Graduate Students, Enrollment Management, Educational Research, Models
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Paris, Joseph H.; Birnbaum, Matthew; Dix, Nicholas – Strategic Enrollment Management Quarterly, 2021
Graduate strategic enrollment management (SEM) professionals must become fluent in the mechanics of their institution's budget model in order to better understand how graduate enrollment headcount and tuition revenue translate into the resources that power the institution and fortify it to withstand a potentially uncertain future. This article…
Descriptors: Enrollment Management, Graduate Students, Educational Finance, Higher Education
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Rodriguez, AE; Rosen, John – Research in Higher Education Journal, 2023
The various empirical models built for enrollment management, operations, and program evaluation purposes may have lost their predictive power as a result of the recent collective impact of COVID restrictions, widespread social upheaval, and the shift in educational preferences. This statistical artifact is known as model drifting, data-shift,…
Descriptors: Models, Enrollment Management, School Holding Power, Data
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Lisa Perry; Erin Webb – Strategic Enrollment Management Quarterly, 2024
The ever-changing landscape of higher education presents enrollment management (EM) professionals with challenges related to workload, staff morale, conflicting values, staff turnover, and student satisfaction. As higher education confronts the reality of today's enrollment climate, it is time to consider how organizational cultures impact staff…
Descriptors: Enrollment Management, Organizational Culture, Student Personnel Workers, Sense of Community
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Smith, Clayton; Gottheil, Susan; King, Aliyah – Strategic Enrollment Management Quarterly, 2022
This article explores the perceptions of senior enrollment managers at Canadian colleges and universities regarding the effectiveness of using the Strategic Enrollment Management (SEM) model within the Canadian context. The research design consists of a qualitative approach involving 23 individual interviews. Research participants reflected on…
Descriptors: Foreign Countries, Enrollment Management, Strategic Planning, Models
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Paris, Joseph H. – College and University, 2020
Responsibility Center Management (RCM) budget models are designed to create financial incentives that encourage expense reduction and revenue generation. This article--a primer on RCM--equips enrollment management leaders and other higher education professionals with the knowledge required to support the attainment of enrollment headcount and net…
Descriptors: Enrollment Management, Higher Education, Budgeting, Incentives
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Andrea Radasanu; Rebecca C. Bott-Knutson; Leigh E. Fine; Jonathan Kotinek; Joy L. Hart; Timothy Nichols; Heidi Appel; Daniel M. Roberts; Paul Knox; William Ziegler – Journal of the National Collegiate Honors Council, 2023
This article considers the value of honors education beyond its marked contributions to enrollment management goals. Suggesting that quantitative assessments toward understanding the value of honors fail to capture its breadth, interdisciplinary focus, and engagement, authors posit a new way of measuring impacts from "contagion model"…
Descriptors: Honors Curriculum, Higher Education, Educational Innovation, Enrollment Management
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Bousnguar, Hassan; Najdi, Lotfi; Battou, Amal – Education and Information Technologies, 2022
Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…
Descriptors: Higher Education, Undergraduate Students, Enrollment Management, Strategic Planning
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Soltys, Michael; Dang, Hung D.; Reyes Reilly, Ginger; Soltys, Katharine – Strategic Enrollment Management Quarterly, 2021
A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…
Descriptors: Enrollment Management, Strategic Planning, Prediction, Computer Software
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Perez-Vergara, Kelly – Strategic Enrollment Management Quarterly, 2020
Institutional staff such as enrollment managers, business officers, and institutional researchers are often asked to predict enrollments. Developing any predictive model can be intimidating, particularly when there is no textbook to follow. This paper provides a practical framework for generating enrollment projection options and for evaluating…
Descriptors: Enrollment Projections, Enrollment Management, Enrollment Trends, Models
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Kisling, Reid; Peterson, Andrew; Nisbet, Robert – Strategic Enrollment Management Quarterly, 2021
Data analytics is undergoing an evolution through effective data use to support both operational and learning analytics models. However, this evolution will require that institutional leaders transform their data systems to best support the needs of application modeling and use their intuition to help drive the development of better analytical…
Descriptors: Higher Education, Learning Analytics, Models, Instructional Leadership
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Pulcini, Brad; Dennett, Emily – Community College Journal of Research and Practice, 2018
Community colleges continue to operate in a society of accountability and efficiencies. Throughout the country, states have implemented performance-based funding and completion agendas while also tightening or restricting funding for higher education. The state of Ohio has implemented one of the boldest performance funding plans in the country…
Descriptors: Community Colleges, Financial Support, Educational Finance, Resource Allocation
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Pollock, Kevin; Schwartz, Celeste M.; Buck, David – Strategic Enrollment Management Quarterly, 2017
As higher education institutions continue to adapt and improve their student success models, it is important to make sure not to forget, or fail to maximize, the potential of information technology (IT) as a partner in student success efforts. This article discusses the traditional role of IT on campuses and how that role is evolving, especially…
Descriptors: Academic Achievement, Information Technology, Models, Higher Education
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