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Old Dominion University

Engineering Management & Systems Engineering Faculty Publications

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Early Engineering Experience (E3) Initiative, Danielle Nicole Carter, Rafael E. Landaeta Jan 2020

Early Engineering Experience (E3) Initiative, Danielle Nicole Carter, Rafael E. Landaeta

Engineering Management & Systems Engineering Faculty Publications

This Work in Progress paper details an initiative designed to broaden exposure and attract increased interest in the study of engineering of a minority-serving institution (MSI) with a plurality of races represented. The University's student population where this initiative is being implemented consists of 26.2% African American and 6% that identify with two or more races. In contrast, the College of Engineering in this University is 20% African American; the freshmen class makes up 6.3% of this figure. By USDOE standards, this characterization is indicative of a predominantly white institution (PWI). According to the Bureau of Labor Statics, underrepresented minorities …


Longitudinal Academic Performance Analysis Using A Two-Step Clustering Methodology, Volkan Cakir, Adrian Gheorghe Jan 2017

Longitudinal Academic Performance Analysis Using A Two-Step Clustering Methodology, Volkan Cakir, Adrian Gheorghe

Engineering Management & Systems Engineering Faculty Publications

The present study aims to examine the academic profiles of industrial engineering undergraduate students among a sample group of military college engineering students (N=276) in order to determine the factors impacting academic performance; to compare student groups that were identified by course scores, and to analyse performance changes over four academic years. The study started with data collection, database creation and preparation for clustering study. A two-step clustering methodology was used for grouping courses based on academic performance and context similarities. The clustering methodology results are validated by discriminant analysis. Student movements among clusters over the four years are identified …