职业技术教育2026，Vol.47Issue(25)：48-55,8.
人工智能人才需求结构变化与高职院校人才培养路径转译
Changes in the Demand Structure for Artificial Intelligence Talents and the Transformation of Talent Cultivation Pathways in Higher Vocational Colleges
摘要
Abstract
At present,artificial intelligence(AI)technologies are moving rapidly from research exploration into industrial applications and organizational workflows,driving a shift in job demand from a predominantly R&D-oriented pattern to a more diversified structure involving data support,engineering implementation,product transformation,and industry-specific applications.In response to this shift,higher vocational colleges need to identify the job clusters they are capable of undertaking within the AI industrial chain,thereby clarifying the educational boundaries through which external demands can enter the talent training process.Drawing on multiple sources of evidence,including job recruitment and talent supply-demand reports,industry standards,and professional teaching standards for higher vocational education,this study analyzes changes in AI talents demand in terms of job types,competency structures,application contexts,and governance requirements.The findings show that the competency requirements for AI-related positions have expanded from single technical skills to a composite structure integrating technical foundations,engineering implementation,scenario-based application,and data governance and compliance.Such demand also varies across regions,enterprise types,and application scenarios.Higher vocational colleges should take job clusters that they can realistically undertake as the boundary of talent training,and promote the educational transformation of AI talent demand into training pathways through curriculum module restructuring,the development of typical work-task packages,etc.关键词
人工智能/人才需求/高职院校/人才培养/多源证据Key words
artificial intelligence/talents demand/higher vocational colleges/talent training/multiple sources of evidence分类
社会科学引用本文复制引用
杨宁,李春鹏,赵学孔..人工智能人才需求结构变化与高职院校人才培养路径转译[J].职业技术教育,2026,47(25):48-55,8.基金项目
全国教育科学规划课题"省域职教高考制度构建、实践及效果评价的实证研究"(BJA240176),主持人:李春鹏 （BJA240176）
广西教育科学"十四五"规划职业教育重大课题"广西职业教育分类考试实施方案研究"(2023JD103),主持人:李春鹏 （2023JD103）
教育部高校产学研创新基金专项课题"人工智能技术赋能下以岗位胜任力为导向的高职学生职业能力评价体系研究与实践"(2023ZY012),主持人:赵学孔 （2023ZY012）
