Article: Exploration of a teaching model for choreographic course based on Laban Movement Analysis theory in the context of artificial intelligence Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.39 pp.35 - 59 Abstract: This paper proposes an intelligent teaching model for choreographic courses based on Laban Movement Analysis (LMA) theory, aiming to integrate artificial intelligence into dance pedagogy. The model employs advanced AI algorithms and an interactive software platform to offer personalised feedback and learning paths tailored to students' movement profiles and interpretative abilities. Conceptually, the system synthesises LMA's comprehensive movement description framework with AI analytics, thereby introducing a novel approach to movement interpretation and choreographic instruction. The model leverages AI's capacity to process large datasets and identify patterns, which enhances students' grasp of complex choreographic concepts and promotes efficient learning. Furthermore, it incorporates continuous assessment to support choreographic development while respecting learners' creative individuality through a structured knowledge-maintaining and enhancing process. The study presents an innovative integration of AI into choreographic education, offering a referential framework for technologically enhanced pedagogy in other dance-related disciplines. This study is applicable to the following scenarios: higher education choreographic classes, independent practice and review, choreographic creation lab, dance assessment and archive development, and interdisciplinary workshops. Target users are students majoring in dance, creators of contemporary dance, dance teachers and teaching researchers, students in interdisciplinary arts and technology, and trainees in dance rehabilitation and movement therapy. Inderscience Publishers - linking academia, business and industry through research

Title: Exploration of a teaching model for choreographic course based on Laban Movement Analysis theory in the context of artificial intelligence

Authors: Bin Li; Yuan Long

Addresses: Postdoctoral Programme, Sinounited Investment Group Corporation Limited, Beijing 102611, China ' School of Dance, Anhui University of Arts, Hefei 230011, China

Abstract: This paper proposes an intelligent teaching model for choreographic courses based on Laban Movement Analysis (LMA) theory, aiming to integrate artificial intelligence into dance pedagogy. The model employs advanced AI algorithms and an interactive software platform to offer personalised feedback and learning paths tailored to students' movement profiles and interpretative abilities. Conceptually, the system synthesises LMA's comprehensive movement description framework with AI analytics, thereby introducing a novel approach to movement interpretation and choreographic instruction. The model leverages AI's capacity to process large datasets and identify patterns, which enhances students' grasp of complex choreographic concepts and promotes efficient learning. Furthermore, it incorporates continuous assessment to support choreographic development while respecting learners' creative individuality through a structured knowledge-maintaining and enhancing process. The study presents an innovative integration of AI into choreographic education, offering a referential framework for technologically enhanced pedagogy in other dance-related disciplines. This study is applicable to the following scenarios: higher education choreographic classes, independent practice and review, choreographic creation lab, dance assessment and archive development, and interdisciplinary workshops. Target users are students majoring in dance, creators of contemporary dance, dance teachers and teaching researchers, students in interdisciplinary arts and technology, and trainees in dance rehabilitation and movement therapy.

Keywords: choreographic course; Laban Movement Analysis theory; LMA; artificial intelligence.

DOI: 10.1504/IJICT.2026.153312

International Journal of Information and Communication Technology, 2026 Vol.27 No.39, pp.35 - 59

Received: 10 Dec 2025
Accepted: 26 Jan 2026
Published online: 01 May 2026 *

Title: Exploration of a teaching model for choreographic course based on Laban Movement Analysis theory in the context of artificial intelligence

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