<?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.v4i2.1596</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Exploration and Practice of New Engineering Innovative Talent Training Empowered by Digital Intelligence</title><url>https://artdesignp.com/journal/CEF/4/2/10.18063/CEF.v4i2.1596</url><author>ZhangJingjie,YinXiaoshuang,LiSa,WangDong,MaoHaiying,FanLili</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-02-26</published-time></date></history><abstract>As a leading provincially supported industrial university in Shandong, Qilu University of Technology is dedicated to driving regional industrial growth and cultivating elite engineering talent. Despite this mission, it faces critical challenges such as the mismatch between program structures and urgent industry demands, insufficient innovation capacity among emerging engineering students, and the lag of teaching content behind rapid technological advancements. Based on seven years of exploration and practice at Qilu University of Technology, this paper systematically presents the construction of an emerging engineering talent cultivation system, which is characterized by program optimization as the foundation, innovation capability as the core, institutional reform as the guarantee, and digital-intelligent empowerment as the driving force. Specifically, the paper introduces the practical pathways of a &amp;ldquo;three-dimensional coordinated&amp;rdquo; program development system, an &amp;ldquo;one-axis and dual-chain&amp;rdquo; training model, and a &amp;ldquo;one-core and two-circle&amp;rdquo; operational mechanism. These initiatives have produced measurable success in talent development, disciplinary advancement, and social contribution.</abstract><keywords>Digital-Intelligence Empowerment, New Engineering, Innovative Talent Cultivation, Integration of Science and Education, Integration of Industry and Education</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Alghazo M, Vian A, Bahroun Z, et al., 2025, Generative AI in Mechanical Engineering Education: Enablers, Challenges, and Implementation Pathways.&amp;nbsp;Sustainability, 17: 10817.
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