Evidence map›Paper›PMID 41748582›Full record

ArticleNature communications2026

Educational disparities in STEM during COVID-induced distance learning and a potential strategy to address them.

Rebeka Man, Jun Li, Kean Ming Tan

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rebeka ManDepartment of Statistics, University of Michigan, South University, Ann Arbor, MI, USA.
Jun LiStephen M. Ross School of Business, University of Michigan, Ann Arbor, MI, USA. junwli@umich.edu.
Kean Ming TanDepartment of Statistics, University of Michigan, South University, Ann Arbor, MI, USA. keanming@umich.edu.

Funding

National Science Foundation (NSF) NSF CAREER DMS-2238428
6 · The paper itself

Abstract

The COVID-19 pandemic prompted widespread school closures and a swift transition to distance learning, raising concerns about consequences for student success. This study explores academic outcomes in STEM (Science, Technology, Engineering, and Mathematics) courses during COVID-induced distance learning using student-course records at an U.S. public university. We particularly focus on students from underserved populations and who have below average academic outcomes. Employing an expected shortfall regression strategy, we examine outcomes in the bottom quintile and compare differences between students whose household income were in the lowest bracket or without a parent holding a four-year college degree and peers for whom this was not the case, in distance and in-person learning. We show that during distance learning, students in disadvantaged populations in the lowest quintile had average grade differences of 0.11 and 0.06 points, respectively. We also find that targeted instructional changes in an introductory physics course were associated with narrower achievement gaps. These results suggest that while distance learning posed challenges for underserved students, deliberate strategies to increase interaction may potentially support greater equity in STEM education.

Indexed as

COVID-19Education, DistanceEngineeringMathematicsScienceTechnologyAcademiaHumansPandemicsSARS-CoV-2StudentsUniversities

Identifiers

PMID41748582
PMCPMC13061933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.