The Impact of Mobile AI Scoring Technology-Assisted Dance Practice on Dance Education: Improving Students’ Achievement, Learning Motivation and Engagement in China

Mobile AI technology provides personalized guidance, real-time feedback, and flexible learning methods for art learners. However, few studies have investigated the effect of using mobile AI technology in dance practice applications. Therefore, this study designed and developed an AI-assisted dance practice AI-ADP application to support students’ dance learning. This study used 60 preschool education students from a university in southern China as the research subjects and attempted to fill this gap by evaluating the effectiveness of mobile AI in students’ dance learning. The study used an AI-based design dance practice app (the 3D poses evaluation algorithm YOLO-Pose and react canvas video cropping compression) to assess students’ learning motivation, learning outcomes, and engagement through questionnaires and scales. The results showed that compared with traditional teaching, the interactivity of AI can create learning content with timely feedback, significantly improving students’ learning motivation, learning outcomes, and engagement. In addition, the study also discusses the theoretical and practical value.

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Publication Details

Journal
International Journal of Chinese Education
Published
2025-05-01
DOI
https://doi.org/10.1177/2212585x251372981
Primary Topic
Advanced Technologies in Various Fields
Type
article
Field-Weighted Citation Impact
0.00
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article

The Impact of Mobile AI Scoring Technology-Assisted Dance Practice on Dance Education: Improving Students’ Achievement, Learning Motivation and Engagement in China

Wan Ahmad Jaafar Wan Yahaya, Shuang Zeng, Songni Xu, Norsafinar Rahim
International Journal of Chinese Education
Advanced Technologies in Various Fields
article

The Impact of Mobile AI Scoring Technology-Assisted Dance Practice on Dance Education: Improving Students’ Achievement, Learning Motivation and Engagement in China

Wan Ahmad Jaafar Wan Yahaya, Shuang Zeng, Songni Xu, Norsafinar Rahim
article en

Abstract

Mobile AI technology provides personalized guidance, real-time feedback, and flexible learning methods for art learners. However, few studies have investigated the effect of using mobile AI technology in dance practice applications. Therefore, this study designed and developed an AI-assisted dance practice AI-ADP application to support students’ dance learning. This study used 60 preschool education students from a university in southern China as the research subjects and attempted to fill this gap by evaluating the effectiveness of mobile AI in students’ dance learning. The study used an AI-based design dance practice app (the 3D poses evaluation algorithm YOLO-Pose and react canvas video cropping compression) to assess students’ learning motivation, learning outcomes, and engagement through questionnaires and scales. The results showed that compared with traditional teaching, the interactivity of AI can create learning content with timely feedback, significantly improving students’ learning motivation, learning outcomes, and engagement. In addition, the study also discusses the theoretical and practical value.

International Journal of Chinese EducationVol. 14(2)
Universiti Sains Malaysia (MY), Sichuan University of Science and Engineering (CN)
Openalex Percentile: Top 88%
Advanced Technologies in Various Fields
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