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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.v9i11.12884</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration and Reflection on the Reform of Teaching Administration Mode in Colleges for Talent Cultivation Empowered by AI</title><url>https://artdesignp.com/journal/JCER/9/11/10.26689/jcer.v9i11.12884</url><author>HuoZhongyan,LiuCong,YangLiang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>11</issue><history><date date-type="pub"><published-time>2025-12-08</published-time></date></history><abstract>This study explores artificial intelligence (AI)-driven reform in teaching administration and talent cultivation at the University of Shanghai for Science and Technology. AI enhances management efficiency through automated workflows, supports personalized learning via adaptive systems, and enriches teaching with virtual simulation and interdisciplinary training. While AI addresses scalability and innovation challenges, issues like data privacy and teacher training require further attention. 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