ARTICLE
31 August 2026

AI-Empowered “Job-Course-Competition-Certificate” Integrated “Four-Dimensional Integration and Five-Stage Progression” Teaching Model Research for Higher Vocational Engineering Courses

Qianxiu Zou1*
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1 Chongqing Energy College, Chongqing 402260, China
IEF 2026 , 4(8), 38–45; https://doi.org/10.26689/IEF.v4i8.15339
© 2026 by the Author. Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

Driven by the dual forces of digital transformation in vocational education and the rapid advancement of artificial intelligence technologies, the integrated “Job-Course-Competition-Certificate” (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 “Four-Dimensional Integration and Five-Stage Progression” 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’ 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.

Keywords
AI empowerment
Job-Course-Competition-Certificate integration
Higher vocational engineering courses
Four-Dimensional Integration and Five-Stage Progression
Teaching model innovation
Funding
China Private Education Association Planning Project, “Research on the Integrated Talent Development Model of ‘Post–Course–Competition–Certificate’ for Engineering Majors in Higher Vocational Education: A Case Study of the Engineering Cost Management Major” (Project No. CANQN250487); Chongqing Energy College of Vocational Studies Educational Science Planning Project, “Research on an Intelligent Teaching System for Engineering Foundation Courses Driven by Industry Problems” (Project No. JYGH202506).
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