Intelligent Manufacturing Engineering Talent Cultivation for Industry 4.0
Using the methods of text analysis,content analysis and comparative analysis,this paper com-prehensively analyzes the text data of talent training plans,new engineering construction plans and emerging en-gineering research and practice projects of 10 different types of universities,and finds out from the six dimen-sions of organization,concept,structure,model,system and quality that as a typical emerging engineering ma-jor,there are some problems in the open exploration of intelligent manufacturing engineering talent training,such as the urgent reconstruction of basic teaching organization,the lack of concept guidance for professional in-novation and development,the lack of fit between professional structure and industrial layout,the lack of sys-tematic professional ontology knowledge,the lack of extensive formation of training mode,and the large differ-ences in quality identification.The way to alleviate the problem lies in in-depth understanding of the develop-ment trend of intelligent manufacturing industry and the construction situation of emerging engineering,strengthening the innovation of new engineering organization mode,adhering to the concept of"innovation lead-ing and integration focusing",optimizing the layout and training structure,constructing a unique knowledge sys-tem,deepening the reform of cross-border integration training mode,and laying an actor network of quality gov-ernance,with solid practice to improve the construction of high-quality talent cultivation system.
intelligent manufacturing engineeringnew engineeringtalent cultivationteaching organiza-tionprofessional group
NETL
NSTL
万方数据
