Editorial: Diversifying the STEM fields: From individual to structural approaches

Frontiers in Psychology

article

Rodolfo Mendoza-Denton¹  Colette Patt²  Adrienne R. Carter-Sowell³ 

[1] Psychology Department, University of California;Division of Math and Physical Sciences, University of California;Psychology Department, University of Oklahoma

关键词: stem;    broadening participation;    diversity;    Graduate education;    professoriate;    national science foundation;    NSF;    AGEP;   

DOI  :  10.3389/fpsyg.2022.1113227

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

The articles in this collection represent one snapshot of the work conducted under the auspices of the National Science Foundation (NSF). Many, though not all, contributions were presented at the NSF AGEP (Alliances for Graduate Education and the Professoriate) 2017 conference, which was held at the Clark Kerr campus of the University of California, Berkeley. The contributions represent a range of approaches–from theoretical to empirical to programmatic- to addressing equity and representation in graduate education. We firmly believe that each of these approaches richly contributes to the national conversation around broadening participation in STEM, as no one approach is going to give us a full picture of viable solutions and processes. Theoretical work may not translate well to applied settings, and real-world contingencies help elucidate and sharpen theoretical advances. Programmatic work impacts and benefits scholars in real-time, and often serves as a lifeline to underrepresented students navigating the road to the a doctoral degree. At the same time, programmatic work is conducted in settings with multiple factors simultaneously affecting outcomes, thus necessitating empirical work to help tease out and elucidate the processes that affect student success. Empirical work, however, is itself limited by its reductive and controlled nature; it requires both theoretical and programmatic work to remain relevant in the field. Together—theoretical, empirical, and programmatic approaches—help advance the field more than any single approach possibly could.

【 授权许可】

CC BY