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Research over the last six decades resulted in identification of many cognitive and non-cognitive variables that determine students’ decisions to join, continue in or switch out of STEM majors. However, the demand-supply gap of STEM professionals has not been fully resolved.
The purpose of this study was to investigate the domain identification model as a new lens to study factors related to students’ goals intentions. The data for this study was collected from first engineering students enrolled in an introductory engineering course at a research intensive university located in southeastern US. The measurement model and structural model provided a strong fit to the data suggesting domain identification model as a viable option to study students’ career decision making process.
Chosang Tendhar, Baylor College of Medicine
Kusum Singh, Virginia Polytechnic Institute and State University
Brett D. Jones, Virginia Polytechnic Institute and State University
Elizabeth G. Creamer, Virginia Polytechnic Institute and State University
Marie Christine Paretti, Virginia Polytechnic Institute and State University