“Singing artificial intelligence” Suno in teaching Russian to Vietnamese students

In the era of digital transformation, the integration of artificial intelligence (AI) technologies into the educational process, including foreign language teaching, is particularly relevant. Modern AI tools open new opportunities for creating adapted learning materials, that promote individualized learning and increase its effectiveness. The aim of this study is to identify the methodological potential of the AI platform Suno in developing Russian listening skills among Vietnamese students at the beginner level. As empirical materials, the authors used songs generated with the help of the “singing AI” Suno. The main research methods include pedagogical observation at a series of practical Russian language classes where AI-generated songs (AI-songs) were used, a survey, subsequent analysis, and synthesis of the collected data. The study shows that AI-songs stimulate learners’ motivation to study Russian, improve the perception of spoken language, and enhances interest in the culture of the target language country. The survey results confirmed the methodological potential of the Suno AI platform in Russian language teaching. The authors conclude that “singing” AI technologies such as Suno can become an effective tool to support the development of learners’ listening skills provided that these technologies are applied purposefully, not chaotically, and are pedagogically grounded. Suno’s “singing AI” creates an interactive, emotionally rich language environment where listening skills are developed with increased motivation, learner autonomy, and creative engagement in learning Russian.