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A scoping study of reviews on artificial intelligence in education

2025-11Publicação periódica Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorGabriel, Graça
dc.contributor.authorFerrão, Maria Eugénia
dc.contributor.authorPrata, Paula
dc.date.accessioned2025-12-03T09:31:05Z
dc.date.available2025-12-03T09:31:05Z
dc.date.issued2025-11
dc.description.abstract This scoping study synthesizes recent developments in artificial intelligence in education (AIEd), addressing knowledge structures, research priorities, learning theories, ethical considerations, and impact evaluation. A bibliometric analysis of 31 review articles (2019-2023) indexed in Scopus (Social Sciences) was conducted using VOSviewer and complementary statistical methods. The corpus is concentrated in the United Kingdom, Hong Kong, China, Germany, the United States, and Taiwan, with Asian countries accounting for 48.4%. Multidisciplinary journals attract 4.4 times more citations than education-only outlets. Findings indicate a marked rise in AIEd research, primarily led by education-affiliated scholars, yet often lacking robust pedagogical grounding and systematic impact assessment. The prevalence of small samples, limited quantitative rigor, and inconsistent contextual reporting constrain generalizability and inference. To enhance educational relevance and fairness, the field should be anchored in pedagogical frameworks and advanced through collaborative efforts that build stronger theories, methods, and practices responsive to diverse educational needs. por
dc.identifier.citationGabriel, G., Ferrão, M. E., & Prata, P. (2025). A scoping study of reviews on artificial intelligence in education. Eurasia Journal of Mathematics, Science and Technology Education, 21(11), em2731. https://doi.org/10.29333/ejmste/17344
dc.identifier.doi10.29333/ejmste/17344
dc.identifier.issn1305-8223
dc.identifier.urihttp://hdl.handle.net/10400.6/19408
dc.language.isoeng
dc.peerreviewedyes
dc.publisherModestum
dc.relationInstituto de Telecomunicações
dc.relationUID/06522/2023
dc.relation.hasversionhttps://doi.org/10.29333/ejmste/17344
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligence in Education
dc.subjectArtificial Intelligence Teaching and Learning
dc.subjectPedagogy
dc.subjectCognition
dc.subjectImpact Evaluation
dc.titleA scoping study of reviews on artificial intelligence in educationeng
dc.typeperiodical
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50008%2F2013/PT
oaire.citation.issue11
oaire.citation.titleEURASIA Journal of Mathematics, Science and Technology Education
oaire.citation.volume21
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGabriel
person.familyNameFerrão
person.familyNamePrata
person.givenNameGraça da Conceição Filipe
person.givenNameMaria Eugénia
person.givenNamePaula
person.identifier.ciencia-id1915-CF8A-8A66
person.identifier.ciencia-id651F-C1C8-44AD
person.identifier.orcid0000-0002-4399-5373
person.identifier.orcid0000-0002-1317-0629
person.identifier.orcid0000-0002-3072-0186
person.identifier.ridA-2665-2011
person.identifier.scopus-author-id24075949800
person.identifier.scopus-author-id6506143567
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication5e335a35-db76-443c-8196-4bd167752860
relation.isAuthorOfPublicationf32b6cd9-ea61-4de5-898c-d4e0d40a057f
relation.isAuthorOfPublication138a0dac-5e5d-466c-901d-4ed34f860403
relation.isAuthorOfPublication.latestForDiscoveryf32b6cd9-ea61-4de5-898c-d4e0d40a057f
relation.isProjectOfPublication7918ee4a-2bcc-42d4-8ea8-7233682ef215
relation.isProjectOfPublication.latestForDiscovery7918ee4a-2bcc-42d4-8ea8-7233682ef215

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