ORIGINAL RESEARCH article
Front. Educ.
Sec. Digital Learning Innovations
This article is part of the Research TopicNavigating Artificial Intelligence (AI) and Digital Learning Innovation: Transforming Pedagogy in Social Sciences and HumanitiesView all 3 articles
The Application of Generative AI in University Dance Education: Effects on Dance Skills,Engagement and Learning Motivation
Provisionally accepted
- 1Faculty of Education and Psychological Science, Sichuan University of Science and Engineering,, zigong, China
- 2Southwest Minzu University, Chengdu, China
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Generative artificial intelligence (GenAI) is transforming higher education institutions at an unprecedented rate. Nevertheless, despite the increasing interest in the teaching utility of artificial intelligence, little research has been conducted on the utility of GenAI in higher education dance learning environments, as well as the learning benefits of GenAI. The current study fills this gap with a quasi-experiment approach. The subjects of this study were selected randomly from sixty university students. The Gen AI-based teaching tool, GEN Dance, was used to facilitate a real-time interactive dance learning system, while a conventional multimedia tool was used as a control. The study found significant differences between the Gen AI-based teaching tool, GEN Dance, and the conventional multimedia tool in all three areas. This research contributes to the emerging body of literature on the teaching utility of GenAI in higher education dance learning environments.
Keywords: Dance Education, Generative Artificial Intelligence (GenAI), higher education, learning outcomes, Quasi-experimental design
Received: 29 Nov 2025; Accepted: 10 Feb 2026.
Copyright: © 2026 Xu and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Songni Xu
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