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…

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…

This article describes the strategies employed to make a university-wide commitment to student success, persistence, and graduation rates. The shift in culture has made student success everybody's business, and there has been a high level of buy-in to the enterprise. The predictive tools that have been developed have given focus to serving those…

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,…

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…

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…

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…

This study is an exploration of the probability of modeling higher education to optimize student retention for a desired academic outcome. As college students can be viewed as "consumers" of education institutions, this paper examines the applicability of business concepts of customer loyalty and retention and reviews the business…

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…

It is self-evident (and well supported in the literature) that the culture of an organization is an important aspect of how successful an organization is at meeting its goals. What is less evident is what the elements of the culture of an organization are; how can they be quantified; and how can we adjust them in a manner that will impact its…

Improving student success and degree completion is one of the core principles of strategic enrollment management. To address this principle, institutional data were used to develop a statistical model to identify academically at-risk students. The model employs multiple linear regression techniques to predict students at risk of earning below a…