Reference training system for intelligent manufacturing talent education: platform construction and curriculum development

Author(s):  
Shuting Wang ◽  
Jie Meng ◽  
Yuanlong Xie ◽  
Liquan Jiang ◽  
Han Ding ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
pp. 115
Author(s):  
Tianhong Pan ◽  
Yi Zhu ◽  
Shan Chen

In order to enrich the training modes for internationalized and innovative talents, universities from China, Japan and Korea have cooperated each other since 2012, and established a consortium named Innovative Research & Education of Asia (IRE). The consortium proposed the “student-centered, innovation-oriented and multiple cooperation” teaching concept. To achieve the objective of innovation talent education, an international interdisciplinary teaching team has been formed and three international innovation engineering education projects have been created. Furthermore, an international collaborative training system for innovation talents has been designed. Up to now, more than 20 colleges and universities joins the IRE consortium and 2000 Asian students participated in the training system. The successful cases demonstrate that the proposed teaching system is effective and has become a famous example of interdisciplinary engineering innovation education for talents. 


2021 ◽  
Author(s):  
AN-YAN CAO ◽  
QIAN LV ◽  
LI-GONG CUI

The new technology in artificial intelligence has a far-reaching impact on the intelligent development of the manufacturing industry. These new skill requirements are bound to promote the reform of vocational education in the field of intelligent control. It is urgent to train a group of highly skilled compound talents who can adapt to the development of artificial intelligence and intelligent manufacturing and can engage in the field of intelligent control technology. In this background, this paper takes Binzhou Polytechnic as an example, which is a high level vocational college with Chinese characteristics. We investigate the current situation and development prospect of artificial intelligence and intelligent manufacturing and analyze the problems and development opportunities of mechatronics technology specialty under the background of artificial intelligence development. We put forward some suggestions on the personnel training system of mechatronics technology from the aspects of specialty orientation and the integration and optimization of training specifications, the development of specialty curriculum system, the reform of teaching mode, and the construction of innovative teacher team.


Author(s):  
Geoffrey Howson ◽  
Christine Keitel ◽  
Jeremy Kilpatrick

1967 ◽  
Author(s):  
Arnulf M. Pins ◽  
Arnold Gurin ◽  
Wyatt C. Jones ◽  
Joan Levin ◽  
Robert Perlmam

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