面向高质量就业的微证书体系建构研究: 智能制造产教融合的实证分析

在全球制造业智能化转型与劳动力结构变化的双重背景下，我国智能制造领域面临人才供需严重错配的挑战。本研究以智能制造代表性企业和高职院校为研究对象，采用LDA主题建模与深度访谈相结合的混合研究方法，系统分析了一线岗位的核心能力需求与职业教育供给之间的结构性矛盾。研究发现，企业人才需求已从单一技能转向以“应用场景问题解决能力”“情境化数据思维”“动态职业适应性”为核心的复合素养结构，而职业教育在课程内容、师资能力与评价机制方面存在显著滞后。基于此，研究提出构建以行业共识为基础、微证书为载体的能力认证体系，旨在通过标准共建、校企协同与模块化课程改革，打通“产业需求—教育培养—就业认证”闭环，为实现高质量就业与产教深度融合提供可行路径。
The global transition to intelligent manufacturing is reshaping labor markets, exposing a significant talent-supply misalignment in China’s smart-manufacturing sector. This study investigates the structural gap between the core competencies demanded by industry and the training provided by higher vocational education. Combining LDA topic modeling of enterprise needs with in-depth interviews at leading firms and vocational colleges, we find that industry demand has shifted from discrete skills to a compound competency model. This model prioritizes (i) real-world problem-solving, (ii) data-contextualization skills, and (iii) dynamic occupational adaptability. In contrast, higher vocational education lags significantly in curriculum, teacher capacity, and assessment. In response, this paper proposes a novel, industry-consensus-driven certification framework centered on micro-credentials. By integrating joint standard-setting, school-enterprise collaboration, and modular curricula, this model effectively closes the “industry demand–education provision–employment certification” loop, providing a viable pathway for high-quality employment and profound industry-education integration.