TY - JOUR
T1 - Theoretical perspectives on increasing recruitment and retention of underrepresented students in the geosciences
AU - Callahan, Caitlin N.
AU - LaDue, Nicole D.
AU - Baber, Lorenzo D.
AU - Sexton, Julie
AU - van der Hoeven Kraft, Katrien J.
AU - Zamani-Gallaher, Eboni M.
N1 - Funding Information:
All members of this writing team were involved in the August 2015 GeoNeeds Education Researcher Meeting (NSFDUE-1445228), and this paper was designed to address a gap in the literature identified during that workshop. We thank three anonymous peer reviewers as well as editors of JGE for positive and constructive feedback that improved the manuscript from the original submission.
Publisher Copyright:
© Nat. Assoc. Geosci. Teachers.
PY - 2017/11
Y1 - 2017/11
N2 - For decades, programs targeting the recruitment and retention of underrepresented minorities (URM) have had local success in broadening participation in the geosciences. Meanwhile, national graduation rates of URM geoscience majors fall below the national graduation rates of URM STEM majors, generally. In this literature review, we summarize methods used to investigate the efficacy of geoscience recruitment and retention programs, and we propose avenues of future investigation into why programs are successful. First, we categorize a decade of recent publications in the Journal of Geoscience Education (JGE) according to Astin’s Input–Environment–Output (IEO) model. This model offers a classification scheme to evaluate how inputs (e.g., student characteristics) and environment (e.g., program attributes) may influence desired outputs (e.g., results of programs). Next, we discuss a set of social, cognitive, and psychological theories that support deeper investigation into the reasons why recruitment and retention programs are successful with particular groups. There is an observable trend in the geoscience literature after 2009 toward interventions that include all components of the IEO model and random assignment (i.e., ‘‘natural experiments’’). We argue that self-efficacy, identity, microaggressions, stereotype threat, and social cognitive career theory offer perspectives that can guide future programmatic interventions and support the geoscience community in broadening participation in the geosciences.
AB - For decades, programs targeting the recruitment and retention of underrepresented minorities (URM) have had local success in broadening participation in the geosciences. Meanwhile, national graduation rates of URM geoscience majors fall below the national graduation rates of URM STEM majors, generally. In this literature review, we summarize methods used to investigate the efficacy of geoscience recruitment and retention programs, and we propose avenues of future investigation into why programs are successful. First, we categorize a decade of recent publications in the Journal of Geoscience Education (JGE) according to Astin’s Input–Environment–Output (IEO) model. This model offers a classification scheme to evaluate how inputs (e.g., student characteristics) and environment (e.g., program attributes) may influence desired outputs (e.g., results of programs). Next, we discuss a set of social, cognitive, and psychological theories that support deeper investigation into the reasons why recruitment and retention programs are successful with particular groups. There is an observable trend in the geoscience literature after 2009 toward interventions that include all components of the IEO model and random assignment (i.e., ‘‘natural experiments’’). We argue that self-efficacy, identity, microaggressions, stereotype threat, and social cognitive career theory offer perspectives that can guide future programmatic interventions and support the geoscience community in broadening participation in the geosciences.
KW - Broadening participation
KW - Diversity
KW - Theoretical frameworks
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U2 - 10.5408/16-238.1
DO - 10.5408/16-238.1
M3 - Review article
AN - SCOPUS:85035063176
SN - 1089-9995
VL - 65
SP - 563
EP - 576
JO - Journal of Geoscience Education
JF - Journal of Geoscience Education
IS - 4
ER -