Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Research on Talent Training Mode of Automation Specialty for New Engineering Need

Authors
Jing Bai, Jianmin Zhang, Tiecheng Pu
Corresponding Author
Jing Bai
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.71How to use a DOI?
Keywords
Talent training mode; Automation specialty; New engineering; China manufacturing 2025
Abstract
In order to solve the contradiction between the need of talents and the training of talents, a new talent training mode is proposed for automation specialty in College of Electrical and Information Engineering Beihua University. The new mode is researched by referring to the international engineering education accreditation standards of automation specialty and combining with the strategic policies of China manufacturing 2025 and the belt and road initiative and the internet plus and reforming the existing talent training mode. The proposed new mode includes six realization measures and solves three teams of contradiction. This is an innovation of talent training mode for automatic specialty. The new model can match with the economic and social development of national and regional, and match with the school running orientation and school-running characteristics.
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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.71How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Bai
AU  - Jianmin Zhang
AU  - Tiecheng Pu
PY  - 2017/12
DA  - 2017/12
TI  - Research on Talent Training Mode of Automation Specialty for New Engineering Need
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 326
EP  - 329
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.71
DO  - https://doi.org/10.2991/mcei-17.2017.71
ID  - Bai2017/12
ER  -