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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.v9i6.10960</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Artificial Intelligence as Co-Creator: Redefining Creative Identity in Design Education</title><url>https://artdesignp.com/journal/JCER/9/6/10.26689/jcer.v9i6.10960</url><author>JiangMeiling</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>6</issue><history><date date-type="pub"><published-time>2025-07-03</published-time></date></history><abstract>This study examines how generative artificial intelligence (AI) reshapes creative identity in design education. Drawing on post-humanist and network-based theories, it frames AI as a cognitive collaborator in ideation and authorship. Mixed-methods data reveal student anxiety and stylistic confusion, contrasted with designers’ adaptive strategies. 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