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针对传统包装职业教育中课程更新滞后、产学协同不足、学生能力单一等问题，本文提出以人工智能（Artificial Intelligence,AI）为支撑、学科竞赛为纽带的“AI+竞赛”双轮驱动人才培养模式。通过重构“目标层-支撑层-实施层”三维框架，开发动态案例库、虚拟仿真平台与AI助教系统，实现AI工具链与包装专业教育的深度融合。该体系显著提升了学生的跨学科创新能力、工程实践能力与可持续发展意识，推动了校企资源高效整合。同时，本文提出职业教育数字化转型的“工具嵌入-场景驱动-生态进化”实施路径，建立了“课程-竞赛-产业”联动机制，形成可复制的教育闭环生态，为智能制造背景下包装工程教育的系统性改革提供了示范参考。
Abstract：Aiming at the problems of lagging curriculum updating, insufficient industry-academia collaboration, and single ability of students in traditional packaging vocational education, the “Artificial Intelligence(AI)+Competition”dual-wheel-driven talent cultivation model was proposed in this paper, which was supported by AI technology and linked by disciplinary competitions. By reconstructing the three-dimensional framework of the “target layersupport layer-implementation layer”, and developing a dynamic case library, virtual simulation platform, and AI teaching assistant system, the in-depth integration of AI tool chain and packaging professional education was realized. This system significantly improves students' interdisciplinary innovation ability, engineering practice ability and sustainable development consciousness, and promotes the efficient integration of school and enterprise resources. At the same time, the “tool-embedded-scene-driven-ecological evolution” implementation path for the digital transformation of vocational education was proposed. It establishes the linkage mechanism of “curriculumcompetition-industry”, forms a reproducible closed-loop ecology of education, and provides a model reference for the systematic reform of packaging engineering education in the context of intelligent manufacturing.
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基本信息:
DOI：10.19370/j.cnki.cn10-1886/ts.2025.03.011
中图分类号:G712;TB48-4
引用信息:
[1]黎颖,何颂华,周浩等.“AI+竞赛”驱动的包装职教育人培养体系探究[J].印刷与数字媒体技术研究,2025,No.236(03):88-96.DOI:10.19370/j.cnki.cn10-1886/ts.2025.03.011.
基金信息:
广东省高职院校轻工纺织类教改项目(No.2023QGFZ23); 广东省教育厅科研项目资助(No.2024CJPT002); 广东省高职院校课程思政示范课(No.KCSZ04235); 广东省高职教育教学改革研究与实践项目(No.2023JG031)