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Beyond the score: exploring the intersection between sociodemographics and linguistic features in english (L1) writing placement

datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg05:Igualdade de Género
dc.contributor.authorDa Corte, Miguel
dc.contributor.authorBaptista, Jorge
dc.date.accessioned2026-03-31T10:30:48Z
dc.date.available2026-03-31T10:30:48Z
dc.date.issued2025
dc.description.abstractThis study examines the intersection of sociodemographic characteristics, linguistic features, and writing placement outcomes at a community college in the United States of America. It focuses on 210 anonymized writing samples from native English speakers (L1) that were automatically classified by Accuplacer and independently assessed by two trained raters. Disparities across gender and race using 40 top-ranked linguistic features selected from Coh-Metrix, CTAP, and Developmental Education-Specific (DES) sets were analyzed. Three statistical tests were used: one-way ANOVA, Tukey’s HSD, and Chi-square. ANOVA results showed racial differences in nine linguistic features, especially those tied to syntactic complexity, discourse markers, and lexical precision. Gender differences were more limited, with only one feature reaching significance (Positive Connectives, p = 0.007). Tukey’s HSD pairwise tests showed no significant gender group variation but revealed sensitivity in DES features when comparing racial groups. Chi-square analysis indicated no significant association between gender and placement outcomes but suggested a possible link between race and human-assigned levels (χ 2 = 9.588, p = 0.048). These findings suggest that while automated systems assess general writing skills, human-devised linguistic features and demographic insights can support more equitable placement practices for all students entering college-level programs.eng
dc.description.sponsorshipProject: iRead4Skills, Grant number: 1010094837, Topic: HORIZON-CL2-2022-TRANSFORMATIONS-01-07
dc.identifier.doi10.4230/OASIcs.SLATE.2025.6
dc.identifier.isbn978-3-95977-387-4
dc.identifier.urihttp://hdl.handle.net/10400.1/28579
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSchloss Dagstuhl – Leibniz-Zentrum für Informatik
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDevelopmental education (DevEd)
dc.subjectSociolinguistic variation
dc.subjectText classification
dc.subjectMachine learning
dc.subjectPlacement equity
dc.titleBeyond the score: exploring the intersection between sociodemographics and linguistic features in english (L1) writing placementeng
dc.typebook part
dspace.entity.typePublication
oaire.awardNumberUIDB/50021/2020
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.citation.endPage18
oaire.citation.startPage6
oaire.citation.title14th Symposium on Languages, Applications and Technologies (SLATE 2025)
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDa Corte
person.familyNameBaptista
person.givenNameMiguel
person.givenNameJorge
person.identifier.ciencia-id7010-5366-22C5
person.identifier.orcid0000-0001-8782-8377
person.identifier.orcid0000-0003-4603-4364
person.identifier.ridH-7699-2013
person.identifier.scopus-author-id14035269500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication4a524eae-b359-47fa-8978-028ac5ffb57e
relation.isAuthorOfPublicatione817fa28-a005-40e2-9ba4-03fdaedd7df3
relation.isAuthorOfPublication.latestForDiscovery4a524eae-b359-47fa-8978-028ac5ffb57e
relation.isProjectOfPublication0b14d63a-8f78-4e31-8a86-b72e1f07871f
relation.isProjectOfPublication.latestForDiscovery0b14d63a-8f78-4e31-8a86-b72e1f07871f

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