The Educational Potential of AI-generated Songs in English Language Teaching (ELT)

Szerzők

  • Majorszki Anita
    Affiliation
    Eötvös Loránd Tudományegyetem, Angol Nyelvpedagógia Tanszék
https://doi.org/10.3311/celisr.43196

Absztrakt

Songs have long been recognised as beneficial tools in the English as a Foreign Language (EFL) classroom (Adnyani, Dewi, 2020; Kumar et al., 2022). However, a recurring challenge occurs in the selection of appropriate songs. Educators often struggle to find a piece of music that features grammatically correct lyrics, possesses catchy melodies, and has a convincing topic at the same time. Moreover, some songs contain the desired structures and phrases, only a few times throughout their lyrics. Recent advances in generative artificial intelligence (e.g. SunoAI, iLoveSong.ai) offer promising solutions to these challenges by enabling the creation of customised and personalised songs. With the help of AI assistance, teachers and learners can generate materials that support autonomy and cater to specific linguistic goals. This article presents the theoretical and practical concepts of integrating AI-generated songs into the EFL classrooms.

Kulcsszavak:

ELT, AI in education, AI-generated songs, differentiated learning, personalised learning

Hivatkozási adatok a Crossref-ből

Hivatkozások

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Megjelent

2026-10-17

Hogyan kell idézni

Majorszki, A. (2026) The Educational Potential of AI-generated Songs in English Language Teaching (ELT), Central European Library and Information Science Review (CeLISR). https://doi.org/10.3311/celisr.43196

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