Publicación:
Artificial Intelligence for English Learning Enhancing Vocabulary Acquisition

dc.contributor.authorMercedes del Carmen, Rodríguez Altamiranda
dc.contributor.authorVillamizar Parada, Nini Johana
dc.contributor.authorMartinez Bula, Ligia Rosa
dc.contributor.authorRestrepo Ruiz, Marisela
dc.contributor.authorHerazo Chamorro, Mónica Isabel
dc.contributor.authorGómez Díaz, Carlos
dc.contributor.researchgroupInvestigadores de educación a distancia (IDEAD)
dc.date.accessioned2025-08-19T21:45:32Z
dc.date.issued2024
dc.description.abstractThe acquisition of vocabulary is a fundamental aspect of language learning, particularly in English, which serves as a lingua franca in global communication. Traditional methods of vocabulary acquisition often rely on rote memorization and repetition, which can be tedious and ineffective for many learners. With the advancements in artificial intelligence (AI) technologies, there exists an opportunity to revolutionize vocabulary acquisition through innovative and personalized approaches. This paper explores the potential of AI in enhancing vocabulary acquisition for English learners. It begins by examining the shortcomings of traditional methods and the challenges faced by learners in vocabulary acquisition. Subsequently, it delves into the various ways in which AI can be leveraged to address these challenges effectively. One of the primary advantages of AI in vocabulary acquisition is its ability to provide personalized learning experiences tailored to individual learners' needs and preferences. Through adaptive algorithms and machine learning techniques, AI platforms can analyze learners' strengths, weaknesses, and learning styles to deliver customized vocabulary exercises and content. This personalized approach not only increases engagement but also maximizes retention and understanding.eng
dc.description.abstractLa adquisición de vocabulario es un aspecto fundamental del aprendizaje de idiomas, especialmente del inglés, que sirve como lengua franca en la comunicación global. Los métodos tradicionales de adquisición de vocabulario a menudo se basan en la memorización y la repetición, lo cual puede resultar tedioso e ineficaz para muchos estudiantes. Con los avances en las tecnologías de inteligencia artificial (IA), existe la oportunidad de revolucionar la adquisición de vocabulario mediante enfoques innovadores y personalizados. Este artículo explora el potencial de la IA para mejorar la adquisición de vocabulario en estudiantes de inglés. Comienza examinando las deficiencias de los métodos tradicionales y los desafíos que enfrentan los estudiantes en la adquisición de vocabulario. Posteriormente, profundiza en las diversas maneras en que se puede aprovechar la IA para abordar estos desafíos de manera efectiva. Una de las principales ventajas de la IA en la adquisición de vocabulario es su capacidad para proporcionar experiencias de aprendizaje personalizadas, adaptadas a las necesidades y preferencias de cada estudiante. Mediante algoritmos adaptativos y técnicas de aprendizaje automático, las plataformas de IA pueden analizar las fortalezas, debilidades y estilos de aprendizaje de los estudiantes para ofrecer ejercicios y contenido de vocabulario personalizados. Este enfoque personalizado no solo aumenta la participación, sino que también maximiza la retención y la comprensión.spa
dc.description.researchareaCurrículo, Interculturalidad y educación inicial.
dc.description.researchareaEducación Superior en el contexto internacional,
dc.description.researchareaGerencia, gestión y educación ambiental
dc.description.researchareaLingüística, literatura, inglés y desarrollo humano
dc.description.researchareaProcesos de enseñanza y aprendizaje en EAD y virtual
dc.format.extent6 páginas
dc.format.mimetypeapplication/pdf
dc.identifier.citationMónica Herazo Chamorro, Carlos Gómez Díaz, M. del C. R. A. N. J. V. P. L. R. M. B. M. R. R. . (2024). Artificial Intelligence for English Learning Enhancing Vocabulary Acquisition. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1575–1580. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5630
dc.identifier.eissn2147-67992
dc.identifier.urihttps://repositorio.cecar.edu.co/handle/cecar/10699
dc.publisher.placeColombia
dc.relation.citationendpage1580
dc.relation.citationissue21
dc.relation.citationstartpage1575
dc.relation.citationvolumeVolumen 12
dc.relation.ispartofjournalInternational Journal Of Intelligent Systems And Applications In Engineering
dc.relation.referencesZhang, Ye, et al. "Creating a Personalized Language Learning Environment by Utilizing AI Techniques." IEEE Access 8 (2020): 205558- 205567.
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dc.relation.references] McLaughlin, T., & Osborne, J. (2020). The power of artificial intelligence in language learning: Opportunities, challenges, and ethical considerations. TESOL Quarterly, 54(4), 885–892. https://doi.org/10.1002/tesq.609
dc.relation.referencesK. Ingole and D. Padole, "Design Approaches for Internet of Things Based System Model for Agricultural Applications," 2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP), Nagpur, India, 2023, pp. 1-5, doi: 10.1109/ICETET-SIP58143.2023.10151606.
dc.relation.referencesLiu, Yichao, et al. "Integrating Natural Language Processing and Intelligent Tutoring Systems: Opportunities and Challenges." Journal of Educational Technology & Society 23, no. 2 (2020): 135-148.
dc.relation.referencesKucuk, Zeynep, and Ebru Solmaz. "Language Learning and Teaching Applications of Artificial Intelligence." Hacettepe University Journal of Education 36, no. 4 (2021): 1217-1232.
dc.relation.referencesDevlin, Jacob, et al. "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding." arXiv preprint arXiv:1810.04805 (2018).
dc.relation.referencesChukharev-Hudilainen, Evgeny, et al. "Interactive Vocabulary Learning: Using AI to Personalize Educational Games." Journal of Educational Technology & Society 23, no. 3 (2020): 96-108.
dc.relation.referencesBaker, Scott, and Shuo Cheng. "Personalized Learning Through Machine Learning: Implementation and Insights from the Global Perspective." International Journal of Artificial Intelligence in Education 30, no. 1 (2020): 49-85.
dc.rightsDerechos Reservados. Corporación Universitaria del Caribe – CECAR
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.licenseAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourcehttps://ijisae.org/index.php/IJISAE/article/view/5630
dc.subject.proposalVocabulary acquisitioneng
dc.subject.proposalEnglish language learningeng
dc.subject.proposalArtificial intelligence (AI)eng
dc.subject.proposalErsonalized learningeng
dc.subject.proposalAdaptive algorithmseng
dc.subject.proposalMachine learningeng
dc.subject.proposalEngagementeng
dc.titleArtificial Intelligence for English Learning Enhancing Vocabulary Acquisitioneng
dc.typeArtículo de revista
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/article
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTREV
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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