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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">LNE</journal-id><journal-title-group><journal-title>Lecture Notes in Education, Arts, Management and Social Science</journal-title></journal-title-group><issn>TBA</issn><eissn>2705-053X</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/LNE.v4i2.1509</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>The Era of Intelligent Dance: AI-Driven Innovation and Practice in Dance</title><url>https://artdesignp.com/journal/LNE/4/2/10.18063/LNE.v4i2.1509</url><author>YuZihe</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-02-26</published-time></date></history><abstract>In today's era of rapid digital technology iteration, artificial intelligence (AI), as a disruptive force, is deeply penetrating various fields of artistic creation, performance, and education. The dance art has also ushered in a new development stage of "integration of intelligence and dance". The in-depth integration of AI and dance can not only improve dance creation efficiency, enrich performance forms, and optimize teaching effects, but also promote the organic unity of traditional inheritance and modern innovation in dance art. Based on this, this paper conducts research on AI-driven dance innovation and practice, systematically sorts out the practical challenges and important values of AI in dance applications, and explores the innovative application paths of AI in the field of dance, aiming to empower the creative expression and performance presentation of dance art.</abstract><keywords>artificial intelligence,dance innovation,motion capture</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Wen JM, 2025, Aesthetic Experience and Motion Symbol Projection: Aesthetic Reshaping of AI Choreographed Art Works.&amp;nbsp;Art Garden, (1): 59-63.
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