Increasing Engineering Retention Using Only Incoming Data

A four year study of engineering student retention was conducted on the University of Arkansas -Fort Smith campus.The goal of the study was to find which scores (high school grade point average, composite ACT and math ACT) best predicted if a student would be retained in engineering one year after starting the program.The value of such a study is that engineering retention could possibly be increased if we selected a better group of students for admission and scholarships.Results show that high school GPA is the best predictor for engineering retention.The math ACT sub score was the second best predictor and composite ACT was overall the weakest measure in predicting retention.A combination of all three scores suggests that engineering retention of selected groups can be increased significantly through an optimal weighting of each metric.

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Publication Details

Published
2025-02-18
DOI
https://doi.org/10.18260/1-2-1153-51619
Citations
2
Primary Topic
Engineering Education and Pedagogy
Type
article
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article

Increasing Engineering Retention Using Only Incoming Data

Michael C. Reynolds
2 citations
Engineering Education and Pedagogy
article

Increasing Engineering Retention Using Only Incoming Data

Michael C. Reynolds
article en
2 citations

Abstract

A four year study of engineering student retention was conducted on the University of Arkansas -Fort Smith campus.The goal of the study was to find which scores (high school grade point average, composite ACT and math ACT) best predicted if a student would be retained in engineering one year after starting the program.The value of such a study is that engineering retention could possibly be increased if we selected a better group of students for admission and scholarships.Results show that high school GPA is the best predictor for engineering retention.The math ACT sub score was the second best predictor and composite ACT was overall the weakest measure in predicting retention.A combination of all three scores suggests that engineering retention of selected groups can be increased significantly through an optimal weighting of each metric.

University of Arkansas – Fort Smith (US)
Quality Education
Openalex Percentile: Top 100%
Engineering Education and Pedagogy
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