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How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers

BACKGROUND: Much of science, technology, engineering, mathematics, and medical (STEMM) education policy and research centers around developing the upper levels of the STEMM workforce sector. However, there are many positions in this workforce, “middle-skill careers,” that are largely responsible for...

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Autores principales: Cannady, Matthew A., Moore, Debra, Votruba-Drzal, Elizabeth, Greenwald, Eric, Stites, Regie, Schunn, Christian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310473/
https://www.ncbi.nlm.nih.gov/pubmed/30631678
http://dx.doi.org/10.1186/s40594-017-0079-y
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author Cannady, Matthew A.
Moore, Debra
Votruba-Drzal, Elizabeth
Greenwald, Eric
Stites, Regie
Schunn, Christian D.
author_facet Cannady, Matthew A.
Moore, Debra
Votruba-Drzal, Elizabeth
Greenwald, Eric
Stites, Regie
Schunn, Christian D.
author_sort Cannady, Matthew A.
collection PubMed
description BACKGROUND: Much of science, technology, engineering, mathematics, and medical (STEMM) education policy and research centers around developing the upper levels of the STEMM workforce sector. However, there are many positions in this workforce, “middle-skill careers,” that are largely responsible for executing the innovations and are largely ignored in STEMM education research. RESULTS: Using data from the National Educational Longitudinal Study of 1988, we found differences in what predicts STEMM-related vs. non-STEMM careers across skill-level. For instance, underrepresented minorities and those exhibiting school transgressions are more likely to be working in middle-skill STEMM fields than in middle-skill non-STEMM fields as adults; the same is not true of the high-skill workforce. CONCLUSIONS: One-size-fits-all policies for broadening participation in the STEMM workforce across skill-level are unlikely to be successful. Further, programs that are designed to generate wonder and fascination with STEMM content may be successful in attracting more girls. However, to promote greater participation of individuals from traditionally underrepresented ethnic minority groups in STEMM, programs that support choices toward higher educational attainment, specifically four-year college degree attainment, are more likely to be successful.
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spelling pubmed-63104732019-01-08 How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers Cannady, Matthew A. Moore, Debra Votruba-Drzal, Elizabeth Greenwald, Eric Stites, Regie Schunn, Christian D. Int J STEM Educ Research BACKGROUND: Much of science, technology, engineering, mathematics, and medical (STEMM) education policy and research centers around developing the upper levels of the STEMM workforce sector. However, there are many positions in this workforce, “middle-skill careers,” that are largely responsible for executing the innovations and are largely ignored in STEMM education research. RESULTS: Using data from the National Educational Longitudinal Study of 1988, we found differences in what predicts STEMM-related vs. non-STEMM careers across skill-level. For instance, underrepresented minorities and those exhibiting school transgressions are more likely to be working in middle-skill STEMM fields than in middle-skill non-STEMM fields as adults; the same is not true of the high-skill workforce. CONCLUSIONS: One-size-fits-all policies for broadening participation in the STEMM workforce across skill-level are unlikely to be successful. Further, programs that are designed to generate wonder and fascination with STEMM content may be successful in attracting more girls. However, to promote greater participation of individuals from traditionally underrepresented ethnic minority groups in STEMM, programs that support choices toward higher educational attainment, specifically four-year college degree attainment, are more likely to be successful. Springer International Publishing 2017-10-20 2017 /pmc/articles/PMC6310473/ /pubmed/30631678 http://dx.doi.org/10.1186/s40594-017-0079-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Cannady, Matthew A.
Moore, Debra
Votruba-Drzal, Elizabeth
Greenwald, Eric
Stites, Regie
Schunn, Christian D.
How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title_full How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title_fullStr How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title_full_unstemmed How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title_short How personal, behavioral, and environmental factors predict working in STEMM vs non-STEMM middle-skill careers
title_sort how personal, behavioral, and environmental factors predict working in stemm vs non-stemm middle-skill careers
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310473/
https://www.ncbi.nlm.nih.gov/pubmed/30631678
http://dx.doi.org/10.1186/s40594-017-0079-y
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