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Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learning

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dc.contributor.authorRodríguez Arce, Jorge
dc.contributor.authorVázquez Cano, Esteban
dc.contributor.authorCobá Juárez-Pegueros, Juan Pablo
dc.contributor.authorGonzález García, Salvador
dc.date.accessioned2025-09-03T10:42:59Z
dc.date.available2025-09-03T10:42:59Z
dc.date.issued2023-12-17
dc.descriptionThe registered version of this article, first published in “Sage Open, 13, 2023", is available online at the publisher's website: Sage Journals, https://doi.org/10.1177/21582440231216 La versión registrada de este artículo, publicado por primera vez en “Sage Open, 13, 2023", está disponible en línea en el sitio web del editor: Sage Journals, https://doi.org/10.1177/21582440231216
dc.descriptionProyecto “Prueba de Concepto” titulado: “GAUBI-ORTO. Evaluación de un modelo y aplicativo digital de aprendizaje sostenible, ubicuo y gamificado de la ortografía del español en Educación Primaria” (PDC2022-133185-I00). Programa Estatal para impulsar la investigación Científico-Técnica y su Transferencia, del Plan Estatal de Investigación Científica y Técnica y de Innovación. Ministerio de Ciencia e Innovación (España). Financiado por la Unión Europea-Next Generation EU.
dc.description.abstractPrevious works reveal that there is potential in the use of mobile devices as a useful tool to help learn new vocabulary and it allows the learning materials can be displayed with different Learning Content Representation (LCR) types. Nevertheless, there are no conclusive results about which LCR type is better to improve L2 vocabulary acquisition using m-learning. The purpose of this study was to explore the effects of improving the students’ academic performance using two LCR types that promote different learning strategies in a vocabulary learning task. A mobile application with two LCR types was implemented and tested: the SRL type based on a self-regulated learning strategy, and the NSRL type based on a non-self-regulated learning strategy. Quantitative analyses indicated that there is a relationship between the LCR types and the word recall on vocabulary learning. The SRL type seems to be effective in improving the students’ learning abilities and students in this experimental group exhibited significantly better academic performance. The results are meant to draw that LCR-SRL types must be used in m-learning to L2 vocabulary acquisition. Future studies should focus on how to integrate these strategies in m-learning and understand their effects on improving students’ vocabulary acquisition.en
dc.description.versionversión final
dc.identifier.citationRodríguez-Arce, J., Vázquez-Cano, E., Cobá Juárez-Pegueros, J. P., & González-García, S. (2023). Comparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learning. Sage Open, 13(4). https://doi.org/10.1177/21582440231216819
dc.identifier.doihttps://doi.org/10.1177/21582440231216
dc.identifier.issn2158-2440
dc.identifier.urihttps://hdl.handle.net/20.500.14468/29972
dc.journal.issue4
dc.journal.titleSage Open
dc.journal.volume13
dc.language.isoen
dc.publisherSAGE Journals
dc.relation.centerFacultad de Educación
dc.relation.departmentDidáctica, Organización Escolar y Didácticas Especiales
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PDC2022-133185-I00/ES/GAUBI-ORTO. EVALUACION DE UN MODELO Y APLICATIVO DIGITAL DE APRENDIZAJE SOSTENIBLE, UBICUO Y GAMIFICADO DE LA ORTOGRAFIA DEL ESPAÑOL EN EDUCACION PRIMARIA
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.es
dc.subject58 Pedagogía
dc.subject.keywordsword learningen
dc.subject.keywordsvocabulary acquisitionen
dc.subject.keywordslearning content representationsen
dc.subject.keywordsself-regulated learningen
dc.subject.keywordsm-learningen
dc.titleComparison of Learning Content Representations to Improve L2 Vocabulary Acquisition Using m-learningen
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication26089f69-10a7-41c3-85b0-ca934e101c30
relation.isAuthorOfPublication.latestForDiscovery26089f69-10a7-41c3-85b0-ca934e101c30
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