AI-generated songs as a didactic tool in teaching German as a foreign language

Abstract

The field of teaching German as a foreign language has evolved through various methodologies, and now with technological advancements, Artificial Intelligence (AI) is transforming language pedagogy by enhancing engagement, personalization, and efficiency. Songs have long been recognized as effective tools for reinforcing concepts, as they appeal to the emotional aspects of learners and make the learning process enjoyable. However, for certain grammar and vocabulary topics, suitable songs may not always be available. AI-generated songs, created through tools like ChatGPT and Suno.ai, address this gap by enabling instructors to quickly develop customized songs tailored to the learners’ proficiency levels and interests. This paper explores the integration of AI-generated songs in the instruction of German as a foreign language, particularly through ChatGPT and Suno.ai, an AI tool that creates customized songs based on grammar and vocabulary. While music is widely used to reinforce vocabulary, phonetic awareness, and grammar acquisition, AI-generated songs provide greater flexibility, enabling instructors to tailor content dynamically beyond what textbooks offer. Suno.ai allows for rapid song generation, making learning interactive, engaging, and contextually relevant. Given that teachers best understand their learners' needs, custom AI-generated songs support differentiated and inclusive instruction. We will incorporate quantitative and qualitative classroom research through three experiments to assess the effectiveness and limitations of AI-generated songs, particularly regarding linguistic accuracy, didactic coherence, and quality control. By addressing whether AI-generated songs enhance language acquisition and examining their challenges, this paper contributes to the discourse on AI’s role in teaching German as a foreign language, aligning with the focus on innovation, learner engagement, and the evolving role of educators.