中国职业技术教育

岗位实训作为彰显职业教育类型特征的关键载体与培养学生职业能力的核心环节，其现实发展正面临供需结构错位、知识转化断层、技术代际脱节及权责边界模糊等多重困境。聚焦AI智能体驱动下的共生空间构建机理，从多模态感知、深度学习、动态决策三大维度进行深入解析，并据此提出实现路径：一是目标驱动，打造基于真实场景的岗位实训共生空间实践体系；二是机制驱动，构筑多主体高效协同的岗位实训共生空间协作范式；三是责任驱动，实现权责清晰、动态演化的岗位实训共生空间适配机制。进而为共建共生岗位实训课程提供基于智能体技术范式的创新思路，系统性破解协同壁垒与供需矛盾。

As a key carrier for showcasing the characteristics of vocational education and a core link for cultivating students' vocational abilities, position training is facing multiple challenges in its practical development, such as supply and demand structure mismatch, knowledge transformation gap, technology intergenerational disconnection, and blurred boundaries of rights and responsibilities. Focusing on the mechanism of symbiotic space construction driven by AI intelligent agents, this paper conducts in-depth analysis from three dimensions: multimodal perception, deep learning, and dynamic decision-making. Based on this,an implementation path is proposed: firstly, goal driven, to create a symbiotic space practice system for position training based on real scenarios; The second is mechanism driven, building a collaborative paradigm for efficient collaboration among multiple stakeholders in the symbiotic space of position training; The third is responsibility driven, achieving a clear and dynamically evolving mechanism for adapting to the symbiotic space of position training with clear rights and responsibilities. Furthermore, it provides innovative ideas based on the paradigm of intelligent agent technology for co-building symbiotic position training courses,systematically breaking down collaborative barriers and supply-demand contradictions.