<?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">IEF</journal-id><journal-title-group><journal-title>International Education Forum</journal-title></journal-title-group><issn>3083-4902</issn><eissn>2981-8605</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/IEF.v4i8.15339</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>AI-Empowered “Job-Course-Competition-Certificate” Integrated “Four-Dimensional Integration and Five-Stage Progression” Teaching Model Research for Higher Vocational Engineering Courses</title><url>https://artdesignp.com/journal/IEF/4/8/10.26689/IEF.v4i8.15339</url><author>ZouQianxiu</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>8</issue><history><date date-type="pub"><published-time>2026-08-31</published-time></date></history><abstract>Driven by the dual forces of digital transformation in vocational education and the rapid advancement of artificial intelligence technologies, the integrated &amp;ldquo;Job-Course-Competition-Certificate&amp;rdquo; (JCCC) education model has become a central direction for higher vocational education reform. However, current higher vocational engineering courses generally face three practical dilemmas: disconnection between teaching content and job requirements, fragmented application of AI technologies, and a monolithic evaluation system. Grounded in constructivist learning theory and industry-education integration theory, this study takes engineering courses in the Cost Engineering major as its practical context and constructs an AI-empowered teaching model based on the &amp;ldquo;Four-Dimensional Integration and Five-Stage Progression&amp;rdquo; framework. The model restructures teaching content through the four-dimensional integration of job requirements, course content, competition standards, and certificate criteria alongside AI technologies, optimizes the teaching process through the five progressive stages of context creation, task-driven learning, application-driven learning, practical drill, and outcome presentation, and leverages AI tools such as DeepSeek to enable whole-process empowerment encompassing learning diagnosis, resource generation, and intelligent evaluation. Practical implementation demonstrates that this model effectively enhances students&amp;rsquo; learning initiative, improves job competency, and increases certificate pass rates, providing a replicable practical paradigm for the intelligent teaching reform of higher vocational engineering courses.</abstract><keywords>AI empowerment, Job-Course-Competition-Certificate integration, Higher vocational engineering courses, Four-Dimensional Integration and Five-Stage Progression, Teaching model innovation</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Zhang HQ, Wang HY, Liu X, 2021, Practical Problems and Implementation Pathways of the Integrated &amp;ldquo;Job-Course-Competition-Certificate&amp;rdquo; Education Model in Higher Vocational Colleges. Education and Vocation, 2021(21): 27&amp;ndash;34.
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