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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.v10i1.13703</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Construction of Visual Design Curriculum in Vocational Colleges Based on Deep Learning</title><url>https://artdesignp.com/journal/JCER/10/1/10.26689/jcer.v10i1.13703</url><author>TangYiwen</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>10</volume><issue>1</issue><history><date date-type="pub"><published-time>2026-02-04</published-time></date></history><abstract>Under the conditions of informatization and dynamism, visual design courses in higher vocational colleges exhibit issues such as lagging progress, static nature, singularity, and cultural inadaptability, which hinder the development of design education. Under the framework of deep learning, to cultivate visual design talents with profound professional expertise, strong practical skills, and innovative thinking, reforms are necessary in areas such as course objective setting, teaching content design, teaching method innovation, learning evaluation reconstruction, teaching resource integration, and local cultural reconstruction.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>China Science Popularization Network, 2025, DeepSeek Continues to Dominate the Charts, viewed December 10, 2025, http://www.kepu.gov.cn/news/2025-02/11/content_295432.html</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>Biggs JB, 1979, Individual Differences in Study Processes and the Quality of Learning Outcomes. 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