Education Commons^™

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 …