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      Is Open Access

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

      research-article
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      Proceedings of the National Academy of Sciences of the United States of America
      National Academy of Sciences
      individual-participant data metaanalysis, active learning, achievement gaps, underrepresented minorities, heads-and-hearts hypothesis

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          Significance

          Achievement gaps increase income inequality and decrease workplace diversity by contributing to the attrition of underrepresented students from science, technology, engineering, and mathematics (STEM) majors. We collected data on exam scores and failure rates in a wide array of STEM courses that had been taught by the same instructor via both traditional lecturing and active learning, and analyzed how the change in teaching approach impacted underrepresented minority and low-income students. On average, active learning reduced achievement gaps in exam scores and passing rates. Active learning benefits all students but offers disproportionate benefits for individuals from underrepresented groups. Widespread implementation of high-quality active learning can help reduce or eliminate achievement gaps in STEM courses and promote equity in higher education.

          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 We conducted a comprehensive search for both published and unpublished studies that compared the performance of underrepresented students to their overrepresented classmates in active-learning and traditional-lecturing treatments.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.

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          Most cited references53

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          A threat in the air. How stereotypes shape intellectual identity and performance.

          C Steele (1997)
          A general theory of domain identification is used to describe achievement barriers still faced by women in advanced quantitative areas and by African Americans in school. The theory assumes that sustained school success requires identification with school and its subdomains; that societal pressures on these groups (e.g., economic disadvantage, gender roles) can frustrate this identification; and that in school domains where these groups are negatively stereotyped, those who have become domain identified face the further barrier of stereotype threat, the threat that others' judgments or their own actions will negatively stereotype them in the domain. Research shows that this threat dramatically depresses the standardized test performance of women and African Americans who are in the academic vanguard of their groups (offering a new interpretation of group differences in standardized test performance), that it causes disidentification with school, and that practices that reduce this threat can reduce these negative effects.
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            • Article: not found

            The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes

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              • Record: found
              • Abstract: found
              • Article: not found

              Increased structure and active learning reduce the achievement gap in introductory biology.

              Science, technology, engineering, and mathematics instructors have been charged with improving the performance and retention of students from diverse backgrounds. To date, programs that close the achievement gap between students from disadvantaged versus nondisadvantaged educational backgrounds have required extensive extramural funding. We show that a highly structured course design, based on daily and weekly practice with problem-solving, data analysis, and other higher-order cognitive skills, improved the performance of all students in a college-level introductory biology class and reduced the achievement gap between disadvantaged and nondisadvantaged students--without increased expenditures. These results support the Carnegie Hall hypothesis: Intensive practice, via active-learning exercises, has a disproportionate benefit for capable but poorly prepared students.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc. Natl. Acad. Sci. U.S.A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                24 March 2020
                9 March 2020
                9 March 2020
                : 117
                : 12
                : 6476-6483
                Affiliations
                [1] aDepartment of Biology, University of Washington , Seattle, WA 98195;
                [2] bDepartment of Physiology and Biophysics, University of Washington , Seattle, WA 98195;
                [3] cDepartment of Immunology, University of Washington , Seattle, WA 98195;
                [4] dSchool of Environmental and Forest Sciences, University of Washington , Seattle, WA 98195;
                [5] eInstitute for Systems Biology , Seattle, WA 98109;
                [6] fDepartment of Biochemistry, University of Washington , Seattle, WA 98195;
                [7] gDepartment of Laboratory Medicine, University of Washington , Seattle, WA 98195;
                [8] hDepartment of Microbiology, University of Washington , Seattle, WA 98195;
                [9] iDepartment of Biological Structure, University of Washington , Seattle, WA 98195;
                [10] jBiology Department, Shoreline Community College , Shoreline, WA 98133;
                [11] kMolecular and Cellular Biology Program, University of Washington , Seattle, WA 98195
                Author notes
                1To whom correspondence may be addressed. Email: ellij@ 123456uw.edu or srf991@ 123456uw.edu .

                Edited by Susan T. Fiske, Princeton University, Princeton, NJ, and approved February 7, 2020 (received for review September 27, 2019)

                Author contributions: M.J.H., E.T., and S.F. designed research; E.J.T., M.J.H., E.T., S.A., E.N.A., S.B., N.C., D.L.C., J.D.C., G.D., J.A.G., K.H., J.H., N.I., L.J., H.J., M.K., M.E.L., C.E.L., A.L., S.N., V.O., S.O., B.R.P., S.B.P., D.L.S., I.W.C.-S., K.E.S., V.S., C.V., C.R.W., K.Z., and S.F. performed research; E.J.T. analyzed data; and E.J.T., M.J.H., E.T., S.A., E.N.A., S.B., N.C., D.L.C., J.D.C., G.D., J.A.G., K.H., J.H., N.I., L.J., H.J., M.K., M.E.L., C.E.L., A.L., S.N., V.O., S.O., B.R.P., S.B.P., D.L.S., I.W.C.-S., K.E.S., V.S., C.V., C.R.W., K.Z., and S.F. wrote the paper.

                Author information
                http://orcid.org/0000-0002-0709-0294
                http://orcid.org/0000-0003-0988-1900
                Article
                201916903
                10.1073/pnas.1916903117
                7104254
                32152114
                ba4585ec-74ad-4a73-bcea-1ed42f21af9b
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 8
                Funding
                Funded by: University of Washington College of Arts and Sciences
                Award ID: NA
                Award Recipient : Scott Freeman
                Categories
                Social Sciences
                Psychological and Cognitive Sciences

                individual-participant data metaanalysis,active learning,achievement gaps,underrepresented minorities,heads-and-hearts hypothesis

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