Psychosocial factors impacting STEM career selection

ABSTRACT

Attention on P-20 science, technology, engineering, and mathematics (STEM) education has increased tremendously in recent years. Many efforts are underway to promote STEM major and career selection across the nation; specifically, in engineering and computer science. The authors' purpose was to examine an underlying profile combinations of latent traits that influence student STEM career selection while designing serious educational games (SEGs). The authors combine a number of quantitative analysis methods in an effort to develop a rich understanding of how a profile combination of traits interact with one another to effect selection of STEM careers and majors. Study participants were 585 students enrolled in a full-time traditional high school. The addition of SEG design experiences into the student profile increases the probability of STEM career selection by 5.1 times.

KEYWORDS:

• Educational technology
• latent class analysis
• STEM education

Acknowledgments

The authors of this study would like to thank and acknowledge the work of the members of the University at Buffalo Neurocognition Science Laboratory.