Do introductory courses disproportionately drive minoritized students out of STEM pathways?

Author:

Hatfield Neil1,Brown Nathanial1ORCID,Topaz Chad M23ORCID

Affiliation:

1. Pennsylvania State University , University Park, PA 16802, USA

2. Institute for the Quantitative Study of Inclusion, Diversity, and Equity , Williamstown, MA 01267, USA

3. Williams College , Williamstown, MA 01267, USA

Abstract

Abstract Diversifying science, technology, engineering, and mathematics (STEM) requires a critical examination of institutional structures at every educational level. In higher education, performance in core introductory courses required for STEM degrees is strongly associated with degree completion. Leveraging a multi-institutional database, we examine nearly 110,000 student records from six large, public, research-intensive universities in order to assess whether these introductory courses disproportionately weed out underrepresented minority (URM) students. We find that the association between low performance in an introductory STEM class and failure to obtain a STEM degree is stronger for URM students than for other students, even after controlling for academic preparation in high school and intent to obtain a STEM degree. To facilitate interpretation of our multivariate logistic regression model, and to highlight the dire situation in higher education, we also calculate predicted probabilities of STEM degree attainment for students of various demographics. The probability of obtaining a STEM degree for a STEM-intending white male student with average academic preparation who receives grades of C or better in all introductory courses is 48%. In contrast, for an otherwise similar URM female student, the probability is merely 35%. If these students receive less than a C in even one introductory STEM course, the probabilities drop to 33% and 21%, respectively.

Publisher

Oxford University Press (OUP)

Reference32 articles.

1. The case for diversity in the health care workforce;Cohen;Health Affair,2002

2. The benefits of diversity: what the research tells us;Smith;About Campus,2000

3. How diversity makes us smarter;Phillips;Sci Am,2014

4. Why computer occupations are behind strong STEM employment growth in the 2019–29 decade;Zilberman;Bureau of labor statistics. Beyond the numbers: employment & unemployment,2021

5. STEM jobs see uneven progress in increasing gender, racial and ethnic diversity;Fry;Pew Research Report,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3