Interest and Transformative Experience as Predictors of Geoscience Academic and Career Choice

Recruitment and retention of students in STEM fields continues to be a challenge. Existing models of recruitment and retention emphasize the role of domain interest and identity. In the current research, we investigated the role of transformative experience combined with domain interest/identity in predicting academic and career choice. Transformative experiences represent a form of deep engagement in which students actively apply school learning in their everyday lives and find value in doing so. We looked specifically at academic and career choice, i.e., available educational paths and various career options, in the field of geoscience, as the geosciences currently struggle to attract and retain majors, resulting in a lack of professionals to fill these jobs. We collected survey data from students (n = 60) at three U.S. universities, and used hierarchical multiple regression to investigate self-efficacy, pre-geoscience interest/identity, transformative experience, and post-geoscience interest/identity as predictors of geoscience academic and career choice. The full regression model explained 69% of the variance in geoscience academic/career choice. Further, stepwise regression analysis revealed that post-geoscience interest/identity fully mediated the relations between the other significant predictors (pre-geoscience interest/identity and transformative experience) and geoscience academic/career choice.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2025-02-18
DOI
https://doi.org/10.3390/bs15020233
Citations
2
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
4.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interest and Transformative Experience as Predictors of Geoscience Academic and Career Choice

Amanda Manzanares, Kevin J. Pugh
2 citations
Behavioral Sciences
Career Development and Diversity
4.73
article

Interest and Transformative Experience as Predictors of Geoscience Academic and Career Choice

Amanda Manzanares, Kevin J. Pugh
article en
2 citations

Abstract

Recruitment and retention of students in STEM fields continues to be a challenge. Existing models of recruitment and retention emphasize the role of domain interest and identity. In the current research, we investigated the role of transformative experience combined with domain interest/identity in predicting academic and career choice. Transformative experiences represent a form of deep engagement in which students actively apply school learning in their everyday lives and find value in doing so. We looked specifically at academic and career choice, i.e., available educational paths and various career options, in the field of geoscience, as the geosciences currently struggle to attract and retain majors, resulting in a lack of professionals to fill these jobs. We collected survey data from students (n = 60) at three U.S. universities, and used hierarchical multiple regression to investigate self-efficacy, pre-geoscience interest/identity, transformative experience, and post-geoscience interest/identity as predictors of geoscience academic and career choice. The full regression model explained 69% of the variance in geoscience academic/career choice. Further, stepwise regression analysis revealed that post-geoscience interest/identity fully mediated the relations between the other significant predictors (pre-geoscience interest/identity and transformative experience) and geoscience academic/career choice.

Behavioral SciencesVol. 15(2)
University of Northern Colorado (US)
University of Northern Colorado
Openalex Percentile: Top 7%
Career Development and Diversity
4.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.