Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring
Abstract
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
Keywords
Cite
@article{arxiv.2508.11872,
title = {Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring},
author = {Xinxing Wu},
journal= {arXiv preprint arXiv:2508.11872},
year = {2026}
}
Comments
16 pages, 1 figures, 1 table