产教融合视域下人工智能模块化课程构建——澳大利亚培训包的启示

Modular Curriculum Construction for Artificial Intelligence from the Perspective of Industry-Education Integration—Implications from Australian Training Packages

摘要: 为解决传统职业培训模式“偏重技术工具、忽视职场流程”的问题，以及人工智能职业培训难以满足行业需求的困境，本研究基于澳大利亚ICT (信息与通信技术)职业教育培训包，探索面向人工智能职业岗位的模块化课程设计路径。以ICT培训包中人工智能模块的能力单元为研究对象，结合能力图谱技术，构建“岗位需求–能力单元–课程模块”的转化机制。通过解构能力单元的逻辑关联，设计“AI技术识别与组织应用规划”等递进式模块化课程集群，并融入工学一体化活动流程，实现技术训练与职场流程的深度融合。该模式可有效推动课程体系从单纯技术传授转向“能力本位”，有助于解决长期存在的产教脱节及能力转化碎片化的问题，为培养符合企业需求的“入职即战力”人才提供切实可行的路径。

Abstract: To address the structural limitations of traditional vocational training models, which often emphasize technical tools at the expense of workplace processes, and to resolve the misalignment between artificial intelligence (AI) training and industry needs, this study explores a modular curriculum design pathway for AI-related occupational roles based on the Australian ICT (Information and Communication Technology) Vocational Education and Training Package. Taking the competency units of the AI module within the ICT training package as the research focus, and incorporating competency mapping technology, this research constructs a transformation mechanism of “job requirements - competency units - curriculum modules”. By deconstructing the logical relationships among competency units, a progressive modular course cluster, including “AI Technology Identification and Organizational Application Planning”, is designed. Work-integrated activity processes are embedded to achieve deep integration of technical training and workplace procedures. This model effectively promotes the shift of the curriculum system from purely technical instruction to a competency-based approach, helps alleviate the long-standing disconnection between industry and education and the fragmentation of competency development, and provides a practical pathway for cultivating job-ready talents that meet enterprise demands.