<?xml version="1.1" encoding="utf-8"?>
<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">CEF</journal-id><journal-title-group><journal-title>Contemporary Education Frontiers</journal-title></journal-title-group><issn>3029-1879</issn><eissn>3029-1860</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/CEF.v4i3.1720</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Artificial Intelligence Drives the Development of Personalized Learning Solutions in Universities</title><url>https://artdesignp.com/journal/CEF/4/3/10.18063/CEF.v4i3.1720</url><author>WangXiaojuan</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>3</issue><history><date date-type="pub"><published-time>2026-03-26</published-time></date></history><abstract>Contemporary higher education is transitioning from standardized mass training to precise, personalized education. Traditional teaching models struggle to meet students&amp;rsquo; diverse developmental needs, while artificial intelligence technology provides robust technical support for implementing personalized learning. This solution addresses the core requirements of personalized learning in universities by establishing a comprehensive architecture encompassing data infrastructure, algorithm engines, front-end applications, and security safeguards. It outlines a phased implementation roadmap, offering a practical framework for advancing intelligent talent cultivation in higher education institutions.</abstract><keywords>Artificial intelligence, Higher education institutions, Personalized learning solutions, Development</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Wang H, 2026, Research on AI-Driven Innovation in Personalized Talent Cultivation Models in Universities. Journal of Zhengzhou University (Philosophy and Social Sciences Edition), 2026: 1&amp;ndash;6.
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