Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
AI-POWERED IMAGE AND AUDIO GENERATORS FOR VERY YOUNG EFL LEARNERS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2025
Языканглийский
  • Каюмова Альбина Рамилевна, автор
  • Садыкова Гульнара Василевна, автор
  • Библиографическое описание на языке оригинала Sadykova G.V., Kayumova A.R., AI-powered Image and Audio Generators for Very Young EFL Learners//Iranian Journal of Language Teaching Research. - 2025. - Vol.13, Is.2. - P.1-24.
    Аннотация This paper focuses on AI-powered image and audio generators as tools for developing language skills of 4–6-year-old EFL learners. Drawing on the concept of digital screen mediation (Meskill, 2021, 2024) rooted in Vygotskian sociocultural paradigm, this mixed-method study explores young learners' experiences interacting with AI technologies mediated by teachers in preschool settings. Pre- and post-test vocabulary assessments, teachers' questionnaires, reflection journals and interviews, as well as video-recorded classes involving 40 children, speak in favor of tested AI-powered technologies as instructional tools that engage learners in highly motivating and empowering co-production activities. The findings suggest that teachers retain their leading role as mediators of knowledge who orchestrate conversations with, through and around AI tools, capitalize on young learners' feeling of pleasure when interacting with technologies, and counteract the unpredictability and instability that comes with AI. The study shows real cases of successful AI-enhanced language classrooms, which might be of interest to early childhood educators and curriculum developers working in a bi- and multilingual contexts, specifically with EFL young learners.
    Ключевые слова AI, langauge learnining, early childhood education
    Название журнала Iranian Journal of Language Teaching Research
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-105015997657&doi=10.30466%2Fijltr.2025.55564.2821&partnerID=40&md5=21b7308c43553b889df120fbcd9d2cd5
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