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Predicting Engineering Student Attrition Risk Using a Probabilistic Neural Network and Comparing Results with a Backpropagation Neural Network and Logistic Regression
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Mason, Cindi; Twomey, Janet; Wright, David; Whitman, Lawrence – Research in Higher Education, 2018
As the need for engineers continues to increase, a growing focus has been placed on recruiting students into the field of engineering and retaining the students who select engineering as their field of study. As a result of this concentration on student retention, numerous studies have been conducted to identify, understand, and confirm…
Descriptors: Student Attrition, Engineering, Probability, Comparative Analysis
Sociodemographic Diversity and Distance Education: Who Drops out from Academic Programs and Why?
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Stoessel, Katharina; Ihme, Toni A.; Barbarino, Maria-Luisa; Fisseler, Björn; Stürmer, Stefan – Research in Higher Education, 2015
Current higher education is characterized by a proliferation of distance education programs and by an increasing inclusion of nontraditional students. In this study we investigated whether and to what extent nontraditional students are particularly at risk for attrition (vs. graduating) from distance education programs. We conducted a secondary…
Descriptors: Foreign Countries, Higher Education, Distance Education, Nontraditional Students