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Research and Practice on Hierarchical and Modular Teaching Mode Reform of Artificial Technology Application Specialty Group

丛佩丽   

  1. ( Department of Infommation Engineering, Liaoning Mechatronics College , Dandong 118009 , Liaoning, China )
  • Received:2023-03-27 Online:2023-10-07 Published:2024-01-03

Abstract: Vigorously develop artificial intelligence has become a national strategy , and in order to closely connect the development of artificial intelligence industry to the development of higher vocational levelof complex technical skills of talents, this paper takes the application of artificial intelligence technologyprofessional group as an example , around the digital Liaoning, intelligent manufacturing province , closeto the new information technology service industry demand for high-end technical skills talents , exploresthe reform of the teaching mode of the practice of professional groups at different levels and modulariza-tion. In the process of talent training, adhering to the talent training concept of “strong quality , thickfoundation , fine technology , integration of skills, the implementation of the fundamental task of cultiva-ting people, moral education quality, labor consciousness and professional literacy throughout the entireprocess of talent training. Innovative "basic convergence , professional orientation , hierarchical trainingmultiple developmenttalent training mode, on the basis of the college's characteristic 1 + N talent training , the paper breaks the professional barriers within the group , through modem apprenticeship,technician class , tutorial system , micro professional, arious compelitions , scientific research assistantproduction, learning, research , innovation , training, competitioncomprehensive , flexible and indi-vidual training program. According to students' own characteristics and development needs , personalizedtraining is carried out to mobilize the internal motivation of students to become talents , meet the needs otstudents'personalized development, effectively improve the quality of talent training, and cultivate high-quality composite technical talents.

Key words:  artificial Intelligence, professional group, modular teaching mode, compound technical and skilled talents

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