Mismeasuring STEM?: Assessing STEM Course Taking Among US Bachelor’s Degree Graduates

Abstract STEM refers to four fields of study and occupation: science, technology, engineering, and mathematics. But STEM has taken on social and political meaning far beyond the sum of its component parts. Public and policy discussions of STEM, whether in education or employment, rest on a startling lack of clarity about what counts as STEM. Most studies of postsecondary STEM education focus on students’ programs of study as the measure of STEM education, but we find this metric leads to substantial mismeasurement. Instead, we argue that examining STEM course taking is a more accurate measure of STEM preparation among college students. This descriptive study establishes conceptual and operational definitions of STEM coursework and uses nationally representative college student transcript data to develop a more accurate measure STEM course taking. Finally, we analyze the extent of potential mismeasurement and estimate STEM course taking using this revised classification system. Among bachelor’s degree students, we find wide variation in the number of STEM courses completed by students both within and between programs of study. Moreover, we find that many students in non-STEM programs of study complete substantial amounts of STEM coursework at levels comparable to that of many STEM students.

Authors

Institutions

Publication Details

Journal
Journal for STEM Education Research
Published
2025-02-04
DOI
https://doi.org/10.1007/s41979-025-00143-6
Citations
1
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
2.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mismeasuring STEM?: Assessing STEM Course Taking Among US Bachelor’s Degree Graduates

Hal Salzman, Daniel Douglas, Khudodod Khudododov
1 citations
Journal for STEM Education Research
Career Development and Diversity
2.37
article

Mismeasuring STEM?: Assessing STEM Course Taking Among US Bachelor’s Degree Graduates

Hal Salzman, Daniel Douglas, Khudodod Khudododov
article en
1 citations

Abstract

Abstract STEM refers to four fields of study and occupation: science, technology, engineering, and mathematics. But STEM has taken on social and political meaning far beyond the sum of its component parts. Public and policy discussions of STEM, whether in education or employment, rest on a startling lack of clarity about what counts as STEM. Most studies of postsecondary STEM education focus on students’ programs of study as the measure of STEM education, but we find this metric leads to substantial mismeasurement. Instead, we argue that examining STEM course taking is a more accurate measure of STEM preparation among college students. This descriptive study establishes conceptual and operational definitions of STEM coursework and uses nationally representative college student transcript data to develop a more accurate measure STEM course taking. Finally, we analyze the extent of potential mismeasurement and estimate STEM course taking using this revised classification system. Among bachelor’s degree students, we find wide variation in the number of STEM courses completed by students both within and between programs of study. Moreover, we find that many students in non-STEM programs of study complete substantial amounts of STEM coursework at levels comparable to that of many STEM students.

Journal for STEM Education Research
Rutgers, The State University of New Jersey (US), Montclair State University (US)
Alfred P. Sloan Foundation
Openalex Percentile: Top 14%
Career Development and Diversity
2.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.