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Full-Text Articles in Science and Mathematics Education
Supporting Veteran Students Along Engineering Pathways: Faculty, Student, And Researcher Perspectives, Brian J. Novoselich, Janice Leshay Hall, Keith A. Landry, Joyce B. Main, Anthony W. Dean
Supporting Veteran Students Along Engineering Pathways: Faculty, Student, And Researcher Perspectives, Brian J. Novoselich, Janice Leshay Hall, Keith A. Landry, Joyce B. Main, Anthony W. Dean
Engineering Technology Faculty Publications
Student veterans, with their highly technical military training, may help remedy national level gaps in qualified science, technology, engineering, and mathematics (STEM) workers. Recent military education benefits and military end strength reductions have the potential to bolster the nation’s engineering technician, engineering technologist, and engineer (ETETE) workforce. Recent work by the National Science Foundation indicates that supporting veteran students towards ETETE careers involves three key tasks for educators: 1) building early awareness of ETETE pathways; 2) ensuring academic recognition for prior military work experience; and 3) providing seamless support from government agencies, academic institutions, and industry. Many veterans experience an …
Longitudinal Academic Performance Analysis Using A Two-Step Clustering Methodology, Volkan Cakir, Adrian Gheorghe
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 …