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Cem Recai Çirak; Hakan Akilli; Yeliz Ekinci – Higher Education Quarterly, 2024
In this study, an early warning system predicting first-year undergraduate student academic performance is developed for higher education institutions. The significant factors that affect first-year student success are derived and discussed such that they can be used for policy developments by related bodies. The dataset used in experimental…
Descriptors: Program Development, At Risk Students, Identification, College Freshmen
Kurt C. Mayer; Alan L. Morse; Yash Padhye – Sport Management Education Journal, 2024
The current exploratory study determined the prevalence of the sport management academic degree being offered in top-ranked institutions as based on "U.S. News & World Report" rankings. A focus on the differences of bachelor's, master's, and doctoral degrees being offered, or not offered, was placed on national universities and…
Descriptors: Higher Education, Institutional Characteristics, Reputation, Athletics
Smith, Justin G.; Tissing, Reid – Journal of Extension, 2018
This article introduces a process for computational text classification that can be used in a variety of qualitative research and evaluation settings. The process leverages supervised machine learning based on an implementation of a multinomial Bayesian classifier. Applied to a community of inquiry framework, the algorithm was used to identify…
Descriptors: Qualitative Research, Extension Education, Classification, Computer Uses in Education
Lynch-Alexander, Erin – Journal of Academic Administration in Higher Education, 2017
Duplicating processes and procedure with anticipation of deviating outcomes is the defining trait of insanity as attributed to a quote by Albert Einstein. It is the antithesis to innovation, which is what is needed in higher education to create impactful changes in the outreach we should be providing to the community. What is important for those…
Descriptors: Outreach Programs, Classification, Alignment (Education), Models
Perna, Laura W.; Leigh, Elaine W. – Educational Researcher, 2018
Over the past decade, but especially in the past few years, programs with a "promise" label have been advanced at the local, state, and federal levels. To advance understanding of the design, implementation, and impact of the many different versions of emerging programs, policymakers, practitioners, and researchers need an organizing…
Descriptors: Classification, College Programs, Multivariate Analysis, Policy Analysis

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