Pilli, Özde (2025) Singing to Remember: The Impact of AI-Generated Music and a Social Robot on L2 Retention and Recall in Children. Bachelor's Thesis, Artificial Intelligence.
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Abstract
This study investigates the impact of AI-generated music delivered through a social robot on second language (L2) vocabulary retention and recall in children. Specifically, it explores whether songs generated by a generative AI music platform, Suno, and presented via a social robot can enhance L2 learning outcomes across different age groups. Dutch-native or dominant children in two age brackets (e.g., 7-8 and 10-12 years old) participate in a single experimental condition involving interaction with a social robot that sings AI-generated songs. Pre- and post-intervention vocabulary tests are used to assess learning effectiveness, with controlled repetition and interaction settings. By comparing performance between the two age groups, the study aims to shed light on developmental differences in responsiveness to AI-supported multimodal language instruction. The findings contribute to understanding how artificial intelligence and social robotics can be effectively integrated into early bilingual education.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Scheffer, S.D. and Vogt, P.A. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Jul 2025 06:38 |
| Last Modified: | 15 Jul 2025 06:38 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/36169 |
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