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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.v8i6.15588</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Analysis of Paths for Artificial Intelligence Technology to Improve the Quality of Vocational Undergraduate Automotive Education</title><url>https://artdesignp.com/journal/erd/8/6/10.26689/erd.v8i6.15588</url><author>YangWenjie</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>6</issue><history><date date-type="pub"><published-time>2026-07-20</published-time></date></history><abstract>The new energy vehicle industry is a strategic emerging industry in China, and the demand for interdisciplinary skilled talents is increasingly urgent. The country is vigorously promoting artificial intelligence to drive educational reform, which has opened up a new track for the teaching innovation of automotive majors in colleges and universities. Combining the development needs of the automotive industry and the characteristics of vocational undergraduate education, this paper analyzes the necessity of artificial intelligence technology empowering vocational undergraduate automotive education, sorts out the practical problems existing in current applications, and puts forward specific practical paths from the perspective of actual teaching implementation. 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