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    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/46563

    Título
    Assessing Pronunciation Improvement in Students of English Using a Controlled Computer-Assisted Pronunciation Tool
    Autor
    Tejedor García, CristianAutoridad UVA Orcid
    Escudero Mancebo, DavidAutoridad UVA Orcid
    Cámara Arenas, EnriqueAutoridad UVA Orcid
    González Ferreras, CésarAutoridad UVA Orcid
    Cardeñoso Payo, ValentínAutoridad UVA Orcid
    Año del Documento
    2020
    Editorial
    IEEE
    Descripción
    Producción Científica
    Documento Fuente
    C. Tejedor-García, D. Escudero-Mancebo, E. Cámara-Arenas, C. González-Ferreras and V. Cardeñoso-Payo, "Assessing Pronunciation Improvement in Students of English Using a Controlled Computer-Assisted Pronunciation Tool," in IEEE Transactions on Learning Technologies, vol. 13, no. 2, pp. 269-282, 1 April-June 2020, doi: 10.1109/TLT.2020.2980261.
    Zusammenfassung
    Over the last few years, we have witnessed a growing interest in computer-assisted pronunciation training (CAPT) tools and the commercial success of foreign language teaching applications that incorporate speech synthesis and automatic speech recognition technologies. However, empirical evidence supporting the pedagogical effectiveness of these systems remains scarce. In this article, a minimal-pair-based CAPT tool that implements exposure-perception-production cycles and provides automatic feedback to learners is tested for effectiveness in training adult native Spanish users (English level B1-B2) in the production of a set of difficult English sounds. Working under controlled conditions, a group of users took a pronunciation test before and after using the tool. Test results were considered against those of an in-classroom group who followed similar training within the traditional classroom setting. Results show a significant pronunciation improvement among the learners who used the CAPT tool, as well as a correlation between human rater's assessment of posttests and automatic CAPT assessment of users.
    Revisión por pares
    SI
    DOI
    10.1109/TLT.2020.2980261
    Patrocinador
    This work was supported in part by the Ministry of Economy, Industry and Competitiveness of Spain—Project Key TIN2014- 59852-R and in part by Consejer ıa de Educaci on of Junta de Castilla y Le on (VA050G18). The work of C. Tejedor-Garc ıa was supported by the University of Valladolid for the Ph.D. Research Grant.
    Version del Editor
    https://ieeexplore.ieee.org/abstract/document/9034084
    Propietario de los Derechos
    © IEEE
    Idioma
    spa
    URI
    http://uvadoc.uva.es/handle/10324/46563
    Tipo de versión
    info:eu-repo/semantics/acceptedVersion
    Derechos
    restrictedAccess
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    2021_Author_Version_TLT2980261.pdf
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