Focusing on key issues such as the low"fit"between vocational education talent cultivation and enterprise vocational competence demand,and the inadequate teaching practice methods integrating voca-tional competence cultivation into professional courses,this paper attempts to use complex network models to expound the theoretical logic of the construction of the school-enterprise cooperation vocational compe-tence education model.For the enterprise track,natural language processing technology is employed to ex-tract high-frequency vocational competence keywords from enterprise recruitment texts.For the school track,based on vocational competence keywords,big data technology is utilized to accurately link profes-sional knowledge with enterprise vocational competence demand according to the"goal positioning-intelli-gent matching-step-by-step integration"approach.Guided by enterprise vocational competence demand and relying on the vocational college"integration of production and education"talent cultivation model,a new path of practical reform,namely the"school-enterprise'convergence track'immersive workstations",is pro-posed.Using big data intelligent technology to guide innovative teaching modes,exploring the construction and practical path of school-enterprise cooperation in fostering individuals,enhancing the effectiveness of vocational competence cultivation,and achieving the goal of comprehensive education.
关键词
校企"合轨"/职业素养/大数据技术/人才培养/职业教育
Key words
School-Enterprise Cooperation/Vocational Competence/Big Data Technology/Talent Cultiva-tion/Vocational Education
万方数据