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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">erd</journal-id><journal-title-group><journal-title>Education Reform and Development</journal-title></journal-title-group><issn>2652-5364</issn><eissn>2652-5372</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/erd.v7i9.12350</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Teaching Methods and Talent Cultivation of Digital Media in Higher Vocational Colleges Empowered by AI</title><url>https://artdesignp.com/journal/erd/7/9/10.26689/erd.v7i9.12350</url><author>ShanLie</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>9</issue><history><date date-type="pub"><published-time>2025-10-17</published-time></date></history><abstract>Against the backdrop of AIGC driving the transformation of the digital media industry and a 300% surge in job demands, higher vocational education is presented with an opportunity to narrow the gap with undergraduate institutions. Anhui Communications Vocational and Technical College took the lead in exploring the empowerment of teaching by AIGC. By setting up a generative artificial intelligence micro-major and reconstructing the curriculum system, it integrated the latest AIGC large models and application tools into teaching, and enhanced classroom vitality through the “case demonstration + interactive discussion” mode. We have established AIGC training rooms, deepened school-enterprise cooperation, and, on average, over 100 students participate in practical enterprise projects each year [1]. Practice has proved that students’ creative efficiency has significantly improved, with the winning rate in provincial competitions increasing by 40% and the employment rate in the metaverse field growing by 35%. The training model of “basic courses + tool training + industrial projects” constructed by the college provides a replicable model for the teaching reform of the digital media major in higher vocational colleges in the AIGC era [2].</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Chen L, Wang J, 2024, Artificial Intelligence Empowering Vocational Education: Connotation, Model and Practical Path. China Vocational and Technical Education, 2024(10): 5–12.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Li H, Zhang B, 2024, Exploration on the Application of AIGC Technology in Digital Media Art Design Teaching. 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