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    Mobile English Learning: A Meta-analysis

    Autor: 
    Garzón, Juan
    ;
    Lampropoulos, Georgios
    ;
    Burgos, Daniel
    Fecha: 
    2023
    Palabra clave: 
    English Learning; ESL; meta-analysis; mobile learning; Scopus(2)
    Revista / editorial: 
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Citación: 
    Garzón, J., Lampropoulos, G., Burgos, D. (2023). Mobile English Learning: A Meta-analysis. In: González-González, C.S., et al. Learning Technologies and Systems. ICWL SETE 2022 2022. Lecture Notes in Computer Science, vol 13869. Springer, Cham. https://doi.org/10.1007/978-3-031-33023-0_22
    Tipo de Ítem: 
    conferenceObject
    URI: 
    https://reunir.unir.net/handle/123456789/16099
    DOI: 
    https://doi.org/10.1007/978-3-031-33023-0_22
    Dirección web: 
    https://link.springer.com/chapter/10.1007/978-3-031-33023-0_22
    Resumen:
    The advantages of mobile learning (m-learning) in English education have been widely described in previous research; however, there is little evidence of its effects on student outcomes. To fill this research gap, we conducted a meta-analysis of 54 empirical studies to measure its impact on student achievement. In addition, we estimated the moderating effects of the pedagogical approach, the learning environment, the education level, the control treatment, and the mobile device. The results indicate that m-learning has a large impact on students’ achievement. This effect is influenced by the pedagogical approach, the education level, and the control treatment, but not by the learning environment or the mobile device. Finally, we explain the nature of these results in light of learning theories.
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