Campus Units

Agricultural and Biosystems Engineering, Electrical and Computer Engineering, Political Science

Document Type

Article

Publication Version

Published Version

Publication Date

2015

Journal or Book Title

International Journal of Engineering Education

Volume

31

Issue

6A

First Page

1448

Last Page

1457

Abstract

This study presents a unique synthesized set of data for community college students entering the university with the intention of earning a degree in engineering. Several cohorts of longitudinal data were combined with transcript-level data from both the community college and the university to measure graduation rates in engineering. The emphasis of the study is to determine academic variables that had significant correlations with graduation in engineering, and levels of these academic variables. The article also examines the utility of data mining methods for understanding the academic variables related to achievement in science, technology, engineering, and mathematics. The practical purpose of each model is to develop a useful strategy for policy, based on success variables, that relates to the preparation and achievement of this important group of students as they move through the community college pathway.

Comments

This article is from International Journal of Engineering Education 31 (2015): 1448. Posted with permission.

Copyright Owner

TEMPUS Publications

Language

en

File Format

application/pdf

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