Singing Syllabi with Virtual Avatars: Enhancing Student Engagement Through AI-Generated Music and Digital Embodiment
Xinxing Wu

TL;DR
This paper introduces a novel method using AI-generated singing and virtual avatars to present course syllabi, making them more engaging and memorable to improve student comprehension and retention.
Contribution
It presents a new audiovisual approach leveraging AI and virtual avatars to enhance syllabus engagement, addressing the limitations of traditional text-based formats.
Findings
Students showed increased awareness of key course information.
AI-sung syllabi improved recall and engagement.
Positive student feedback on the audiovisual format.
Abstract
In practical teaching, we observe that few students thoroughly read or fully comprehend the information provided in traditional, text-based course syllabi. As a result, essential details, such as course policies and learning outcomes, are frequently overlooked. To address this challenge, in this paper, we propose a novel approach leveraging AI-generated singing and virtual avatars to present syllabi in a format that is more visually appealing, engaging, and memorable. Especially, we leveraged the open-source tool, HeyGem, to transform textual syllabi into audiovisual presentations, in which digital avatars perform the syllabus content as songs. The proposed approach aims to stimulate students' curiosity, foster emotional connection, and enhance retention of critical course information. Student feedback indicated that AI-sung syllabi significantly improved awareness and recall of key…
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Taxonomy
TopicsFlow Experience in Various Fields · Diverse Interdisciplinary Research Innovations · Educational Games and Gamification
