Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
AI-POWERED IMAGE AND AUDIO GENERATORS FOR VERY YOUNG EFL LEARNERS
Form of presentationArticles in international journals and collections
Year of publication2025
Языканглийский
  • Kayumova Albina Ramilevna, author
  • Sadykova Gulnara Vasilevna, author
  • Bibliographic description in the original language 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.
    Annotation 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.
    Keywords AI, langauge learnining, early childhood education
    The name of the journal 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
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=317818&p_lang=2

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