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A Design Study of an AI-Human Collaborative Blended Dance Teaching - Learning Model- Focusing on the K-Dance AI Lab

  • The Korean Journal of Dance Studies
  • Abbr : KRSDS
  • 2026, 104(2), pp.39~58
  • Publisher : The Korean Society for Dance Studies
  • Research Area : Arts and Kinesiology > Dance
  • Received : May 14, 2026
  • Accepted : June 18, 2026
  • Published : June 30, 2026

Kim, Yoon-Hee 1 Lee Jeongyeon 1 Ha, Yu-Rim 1

1서울교육대학교

Accredited

ABSTRACT

This study develops a blended dance teaching-learning model that integrates AI and human instructors through the K-Dance AI Lab platform. Unlike previous studies focused mainly on movement analysis or creative support, this study emphasizes interaction among learners, teachers, and AI. The model combines AI-based quantitative analysis with teachers’ artistic judgment, grounded in blended learning, human-AI collaboration, and dual dance assessment. K-Dance AI Lab integrates Google MediaPipe Pose analysis, large language model-based feedback, persona prompts, reference movement content, and a web-based interface for video recording and visualization. Based on this platform, the study proposes a five-stage model: preparation and design, offline learning, AI analysis and feedback, collaborative assessment, and online enrichment. Its key feature is a dual evaluation assessment that balances AI-generated data with teachers’ qualitative judgment. This study positions AI as a collaborative medium in dance education and suggests its applicability across diverse instructional contexts.

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