Using AI songs 2.0

This presentation explores the pedagogical use of songs for developing listening comprehension skills in the language classroom. It begins by revisiting the educational value of music, highlighting its contribution to student motivation, engagement, pronunciation development, vocabulary learning, memory retention, and meaningful language use. The presentation emphasizes that songs can be used for much more than traditional gap-fill exercises and proposes a broader approach to listening instruction. A framework for designing effective listening activities is presented through the distinction between pre-listening, while-listening, and post-listening stages. Particular attention is given to the role of while-listening tasks that require learners to actively process spoken language rather than rely on reading or prediction. The presentation discusses how listening activities can support the development of bottom-up processing skills, including decoding, monitoring, and awareness of connected speech. The resource introduces a range of practical classroom activities designed to strengthen listening skills through songs. The presentation also includes examples of AI-generated songs created with Suno AI and illustrates how teachers can generate customized musical resources adapted to specific learning objectives, language levels, and classroom contexts. This presentation is shared as an open educational resource for educators interested in expanding the use of songs as tools for developing listening skills and promoting meaningful language learning.