Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring
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arXiv
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| Format: | Preprint |
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2025
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| _version_ | 1866917525786198016 |
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| author | Wu, Xinxing |
| author_facet | Wu, Xinxing |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_11872 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring Wu, Xinxing Computers and Society Artificial Intelligence Machine Learning Multimedia 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 |
| title | Designing Singing Syllabi with Virtual Avatars: AI-Assisted Syllabus Reauthoring |
| topic | Computers and Society Artificial Intelligence Machine Learning Multimedia |
| url | https://arxiv.org/abs/2508.11872 |