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Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM

In the United States, persistence for women and ethnic minorities in science, technology, engineering, and math (STEM) careers is strongly impacted by affective factors such as science identity, agency, and sense of belonging. Policies aimed at increasing the diversity of the national STEM student p...

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Autores principales: Moore, Michael E., Vega, Dulce M., Wiens, Katie M., Caporale, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195163/
https://www.ncbi.nlm.nih.gov/pubmed/32431768
http://dx.doi.org/10.1128/jmbe.v21i1.1955
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author Moore, Michael E.
Vega, Dulce M.
Wiens, Katie M.
Caporale, Natalia
author_facet Moore, Michael E.
Vega, Dulce M.
Wiens, Katie M.
Caporale, Natalia
author_sort Moore, Michael E.
collection PubMed
description In the United States, persistence for women and ethnic minorities in science, technology, engineering, and math (STEM) careers is strongly impacted by affective factors such as science identity, agency, and sense of belonging. Policies aimed at increasing the diversity of the national STEM student population and workforce have recently focused on fostering inclusive learning environments that can positively impact the experiences of underrepresented minorities (URMs) in STEM, thus increasing their retention. While research on inclusion in STEM in higher education is relatively new, inclusion research has a rich history in several other disciplines. These fields have developed theoretical frameworks and validated instruments to conceptualize and assess inclusion. Self-determination theory (SDT) is a well-established theoretical framework in educational psychology that states that ones’ internal motivation is strongly correlated with the satisfaction of three specific psychological needs: autonomy, competency, and relatedness. In this paper, we introduce SDT and discuss how it relates to inclusion and to ongoing efforts to increase retention of STEM URM students in higher education environments. We argue that grounding inclusion initiatives in the SDT framework increases our understanding of the mechanisms mediating their impact, thus facilitating their reproducibility and generalizability. Finally, we describe how this theoretical framework has been adapted by the field of Industrial and Organizational Psychology to define and assess inclusion in the workplace as an example of how STEM education researchers can use this framework to promote and assess inclusion in their fields.
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spelling pubmed-71951632020-05-19 Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM Moore, Michael E. Vega, Dulce M. Wiens, Katie M. Caporale, Natalia J Microbiol Biol Educ Inclusive Science In the United States, persistence for women and ethnic minorities in science, technology, engineering, and math (STEM) careers is strongly impacted by affective factors such as science identity, agency, and sense of belonging. Policies aimed at increasing the diversity of the national STEM student population and workforce have recently focused on fostering inclusive learning environments that can positively impact the experiences of underrepresented minorities (URMs) in STEM, thus increasing their retention. While research on inclusion in STEM in higher education is relatively new, inclusion research has a rich history in several other disciplines. These fields have developed theoretical frameworks and validated instruments to conceptualize and assess inclusion. Self-determination theory (SDT) is a well-established theoretical framework in educational psychology that states that ones’ internal motivation is strongly correlated with the satisfaction of three specific psychological needs: autonomy, competency, and relatedness. In this paper, we introduce SDT and discuss how it relates to inclusion and to ongoing efforts to increase retention of STEM URM students in higher education environments. We argue that grounding inclusion initiatives in the SDT framework increases our understanding of the mechanisms mediating their impact, thus facilitating their reproducibility and generalizability. Finally, we describe how this theoretical framework has been adapted by the field of Industrial and Organizational Psychology to define and assess inclusion in the workplace as an example of how STEM education researchers can use this framework to promote and assess inclusion in their fields. American Society of Microbiology 2020-04-10 /pmc/articles/PMC7195163/ /pubmed/32431768 http://dx.doi.org/10.1128/jmbe.v21i1.1955 Text en ©2020 Author(s). Published by the American Society for Microbiology This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-NoDerivatives 4.0 International license (https://creativecommons.org/licenses/by-nc-nd/4.0/ and https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode), which grants the public the nonexclusive right to copy, distribute, or display the published work.
spellingShingle Inclusive Science
Moore, Michael E.
Vega, Dulce M.
Wiens, Katie M.
Caporale, Natalia
Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title_full Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title_fullStr Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title_full_unstemmed Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title_short Connecting Theory to Practice: Using Self-Determination Theory To Better Understand Inclusion in STEM
title_sort connecting theory to practice: using self-determination theory to better understand inclusion in stem
topic Inclusive Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195163/
https://www.ncbi.nlm.nih.gov/pubmed/32431768
http://dx.doi.org/10.1128/jmbe.v21i1.1955
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