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Admitting Students in Context

Field Experiments on Information Dashboards in College Admissions

Datos Bibliográficos

ID9016901
AutoresMichael N Bastedo (0000-0003-3358-2564, Center for the Study of Higher and Postsecondary Education, Ann Arbor, Michigan, USA, autor de correspondencia), D’Wayne Bell (Harvard University), Jessica S Howell (College Board), Julian Hsu (Customer Trust and Partner Services, Amazon.com, Bellevue, Washington, USA), Michael Hurwitz (College Board), Greg Perfetto (College Board), Meredith Welch (Cornell University)
Año2021
Volumen93
Número3
Páginas327-374
Fecha de publicación2021-09-22
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaThe Journal of Higher Education (JOURNAL)
Identificadores de la revistaISSN: 0022-1546 • E-ISSN: 1538-4640
EditorialTaylor & Francis (PUBLISHER • GB)
DOI10.1080/00221546.2021.1971488
OpenAlexW4285363374
IdiomaEN
Citas recibidas10
Referencias citadas47

In this paper, we address whether the provision of contextual information about where students live and learn has the potential to expand postsecondary opportunities to students from disadvantaged neighborhoods and high schools. To examine this question, we describe the results of field experiments with admissions officers working in eight universities who re-read real applications from previous admissions cycles with a dashboard of contextual data about the applicant’s neighborhood and high school. In this low-stakes context, admissions officers from institutions utilizing holistic admissions practices were more likely to recommend admitting low-SES applicants when provided with contextual data. The experiment also primed admissions readers to treat students from highly disadvantaged high school and neighborhood contexts more favorably relative to the results of the high-stakes official read, even when the dashboard was not shown to study participants. The results of this experiment suggest that contextualized data can improve equity in admissions, but fidelity to holistic admissions practices is crucial

Context (archaeology · Dashboard · Data science · Disadvantaged · Equity (law · Fidelity · Field (mathematics · Geography · Medical education · Political science · Computer Science · Electoral Systems and Political Participation · Higher Education Research Studies · Medicine · Psychology · School Choice and Performance

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Obras citantes distintas10
Citas por año3,33
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 10
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