Designing singing syllabi with virtual avatars: AI-assisted syllabus reauthoring
PDF (inglés)
HTML (inglés)

Palabras clave

syllabus
virtual avatar
AI
machine learning

Cómo citar

[1]
2026. Designing singing syllabi with virtual avatars: AI-assisted syllabus reauthoring. Open Scholarship of Teaching and Learning. 5, 2 (sep. 2026). DOI:https://doi.org/10.56230/osotl.176.

Resumen

Traditional syllabi often function as static reference documents rather than engaging introductions to a course. In practical teaching, we observe that few students thoroughly read or fully comprehend the information provided in traditional, text-based course syllabi, which can leave essential information underused. This paper reframes syllabus communication as a design problem and documents an AI-assisted workflow for transforming a traditional syllabus into a musical, video-based, and avatar-enhanced learning artifact. The paper traces the process of lyrical adaptation, music generation, video composition, avatar synthesis, and optional browser-based interaction. And the paper contributes a reproducible workflow and a concrete example of syllabus reauthoring. The discussion in this paper positions the singing syllabus as a supplement to, not a replacement for, the formal written syllabus and identifies future directions for empirical evaluation. The complete implementation described in this paper is publicly available at https://github.com/xinxingwu-uk/SSVA.

PDF (inglés)
HTML (inglés)
Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Derechos de autor 2026 Xinxing Wu