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The use of machine learning in developing learner-adaptive tools for second language acquisition

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The use of machine learning in developing learner-adaptive tools for second language acquisition

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dc.contributor.author Mirzaei, Maryam es_ES
dc.contributor.author Meshgi, Kourosh es_ES
dc.date.accessioned 2024-07-23T10:01:46Z
dc.date.available 2024-07-23T10:01:46Z
dc.date.issued 2024-02-12
dc.identifier.isbn 9788413961316
dc.identifier.uri http://hdl.handle.net/10251/206540
dc.description.abstract [EN] Advancements in artificial intelligence and machine learning present opportunities to revolutionize language learning tools with learner-adaptive capabilities. These technologies facilitate the creation of trainable systems that can interact with learners, offering personalized learning experiences tailored to individual needs, interests, proficiency levels, backgrounds, and native languages. This study explores the role of machine learning in developing personalized frameworks for second language learning, introducing the Partial and Synchronized Caption (PSC) tool as an example. PSC utilizes automatic speech recognition and natural language processing to identify challenging words for language learners, which are presented in the caption while masking easy words. We used machine learning to personalize the caption for various learners. An experiment involving graduate students learning English as a second language demonstrated the adaptability of PSC's word selection to different learners. While creating entirely personalized captions may be challenging, PSC offers a promising approach to personalized and adaptable listening tools. The data collected from learner interactions also provides valuable insights into individual needs, shaping future language learning tools and pedagogical practices. es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof EuroCALL 2023. CALL for all Languages - Short Papers
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Machine learning es_ES
dc.subject Learner-adaptive technologies es_ES
dc.subject Personalized language learning es_ES
dc.subject Partial and Synchronized Caption es_ES
dc.title The use of machine learning in developing learner-adaptive tools for second language acquisition es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/EuroCALL2023.2023.16996
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Mirzaei, M.; Meshgi, K. (2024). The use of machine learning in developing learner-adaptive tools for second language acquisition. Editorial Universitat Politècnica de València. https://doi.org/10.4995/EuroCALL2023.2023.16996 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename EuroCALL 2023: CALL for all Languages es_ES
dc.relation.conferencedate Agosto 15-18, 2023 es_ES
dc.relation.conferenceplace Reykjavik, Islandia es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/EuroCALL/EuroCALL2023/paper/view/16996 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\16996 es_ES


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