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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">JCER</journal-id><journal-title-group><journal-title>Journal of Contemporary Educational Research</journal-title></journal-title-group><issn>2208-8466</issn><eissn>2208-8474</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jcer.v9i7.11375</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Transformation of the Teaching Mode for Higher Vocational Public Music Courses in the Context of Artificial Intelligence</title><url>https://artdesignp.com/journal/JCER/9/7/10.26689/jcer.v9i7.11375</url><author>HeLibei</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-07-31</published-time></date></history><abstract>In recent years, the rapid integration of artificial intelligence (AI) with various industries has led to an intelligent transformation in people’s learning and working patterns. In the field of higher vocational public music course teaching, AI provides intelligent teaching tools and learning platforms, while offering students timely and scientific support and companionship, enabling them to complete learning tasks more efficiently. How to explore the transformation path of teaching modes for higher vocational public music courses in the AI context has become a key consideration for frontline teachers. 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