Evidence map›Paper›PMID 32152114›Full record

SynthesisProceedings of the National Academy of Sciences of the United States of America2020

Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math.

Elli J Theobald, Mariah J Hill, Elisa Tran, Sweta Agrawal, E Nicole Arroyo, Shawn Behling, Nyasha Chambwe, Dianne Laboy Cintrón, Jacob D Cooper, Gideon Dunster and 23 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 277 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed, 1 pooled it
–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

277 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Implementation of SCALE-UP in First-Year Chemistry at an HBCU.Journal of higher education theory and practice · 2026
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  18. Educational policies can strengthen climate coalitions.Proceedings of the National Academy of Sciences of the United States of America · 2026
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217 more citing papers are in PubMed but not listed here.

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

33 authors.

Elli J TheobaldDepartment of Biology, University of Washington, Seattle, WA 98195; ellij@uw.edu srf991@uw.edu.
Mariah J HillDepartment of Biology, University of Washington, Seattle, WA 98195.
Elisa TranDepartment of Biology, University of Washington, Seattle, WA 98195.
Sweta AgrawalDepartment of Physiology and Biophysics, University of Washington, Seattle, WA 98195.
E Nicole ArroyoDepartment of Immunology, University of Washington, Seattle, WA 98195.
Shawn BehlingSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195.
Nyasha ChambweInstitute for Systems Biology, Seattle, WA 98109.
Dianne Laboy CintrónDepartment of Biology, University of Washington, Seattle, WA 98195.
Jacob D CooperDepartment of Biology, University of Washington, Seattle, WA 98195.
Gideon DunsterDepartment of Biology, University of Washington, Seattle, WA 98195.
Jared A GrummerDepartment of Biology, University of Washington, Seattle, WA 98195.
Kelly HennesseyDepartment of Biology, University of Washington, Seattle, WA 98195.
Jennifer HsiaoDepartment of Biology, University of Washington, Seattle, WA 98195.
Nicole IranonDepartment of Biochemistry, University of Washington, Seattle, WA 98195.
Leonard JonesDepartment of Biology, University of Washington, Seattle, WA 98195.
Hannah JordtDepartment of Biology, University of Washington, Seattle, WA 98195.ORCID 0000-0002-0709-0294
Marlowe KellerDepartment of Biology, University of Washington, Seattle, WA 98195.
Melissa E LaceyDepartment of Biology, University of Washington, Seattle, WA 98195.
Caitlin E LittlefieldSchool of Environmental and Forest Sciences, University of Washington, Seattle, WA 98195.
Alexander LoweDepartment of Biology, University of Washington, Seattle, WA 98195.
Shannon NewmanDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195.
Vera OkoloDepartment of Biology, University of Washington, Seattle, WA 98195.
Savannah OlroydDepartment of Biology, University of Washington, Seattle, WA 98195.
Brandon R PeecookDepartment of Biology, University of Washington, Seattle, WA 98195.
Sarah B PickettDepartment of Biological Structure, University of Washington, Seattle, WA 98195.
David L SlagerDepartment of Biology, University of Washington, Seattle, WA 98195.
Itzue W Caviedes-SolisDepartment of Biology, University of Washington, Seattle, WA 98195.
Kathryn E StanchakDepartment of Biology, University of Washington, Seattle, WA 98195.
Vasudha SundaravardanBiology Department, Shoreline Community College, Shoreline, WA 98133.
Camila ValdebenitoDepartment of Biology, University of Washington, Seattle, WA 98195.
Claire R WilliamsMolecular and Cellular Biology Program, University of Washington, Seattle, WA 98195.
Kaitlin ZinsliDepartment of Biology, University of Washington, Seattle, WA 98195.
Scott FreemanDepartment of Biology, University of Washington, Seattle, WA 98195; ellij@uw.edu srf991@uw.edu.ORCID 0000-0003-0988-1900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We tested the hypothesis that underrepresented students in active-learning classrooms experience narrower achievement gaps than underrepresented students in traditional lecturing classrooms, averaged across all science, technology, engineering, and mathematics (STEM) fields and courses. We conducted a comprehensive search for both published and unpublished studies that compared the performance of underrepresented students to their overrepresented classmates in active-learning and traditional-lecturing treatments. This search resulted in data on student examination scores from 15 studies (9,238 total students) and data on student failure rates from 26 studies (44,606 total students). Bayesian regression analyses showed that on average, active learning reduced achievement gaps in examination scores by 33% and narrowed gaps in passing rates by 45%. The reported proportion of time that students spend on in-class activities was important, as only classes that implemented high-intensity active learning narrowed achievement gaps. Sensitivity analyses showed that the conclusions are robust to sampling bias and other issues. To explain the extensive variation in efficacy observed among studies, we propose the heads-and-hearts hypothesis, which holds that meaningful reductions in achievement gaps only occur when course designs combine deliberate practice with inclusive teaching. Our results support calls to replace traditional lecturing with evidence-based, active-learning course designs across the STEM disciplines and suggest that innovations in instructional strategies can increase equity in higher education.

Indexed as

AchievementProblem-Based LearningEducational MeasurementEngineeringHumansMathematicsMinority GroupsScienceStudentsTechnologyUnited StatesUniversitiesachievement gapsactive learningheads-and-hearts hypothesisindividual-participant data metaanalysisunderrepresented minorities

Identifiers

PMID32152114
PMCPMC7104254

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.