Exploration and Practice of the Talent Training Model of Mechanical and Electrical Majors Based on the Integration Project Empowered by Artificial Intelligence

Xingang Shen, Liming Peng, Guiyang Jin, Aiguo Jin, Jianwei Shen

2022

Abstract

Nowadays, the correspondence between the professional curriculum system and the talent training objectives is not close enough, talent training lacks effective project support. Therefore, with the help of new modern computer technology such as artificial intelligence, intelligent and personalized management software system is designed for training mechanical and electrical professionals. Through developing professional integration projects covering professional knowledge and vocational ability of the post and adapting to teaching and practice, training program formulation, teaching process implementation, and teaching result assessment are organically integrated into the professional curriculum system, which not only effectively supports the realization of the talent training objective, but also makes the learning goals of students clearer, the teaching contents of teachers to be more carrier-based, and the curriculum to be coherent and systemic. Moreover, the curriculum system turns into an organic whole, and curriculum management and assessment get more intelligent, efficient, and accurate. The introduction of professional integration projects empowered by artificial intelligence can overcome the shortcomings of the discipline system in the traditional professional teaching model. If the advantages of modern computer information technology can be fully used to exert the systematic and complete advantages of the discipline system and emerge with the practice and teaching of the integration project, professional talents training objective will be effectively supported to realize the “top-down” design and implementation of professional talent training and improve the quality of talent training due to the supplementation between theory and practice.

Paper Citation

in Harvard Style

Shen X., Peng L., Jin G., Jin A. and Shen J. (2022). Exploration and Practice of the Talent Training Model of Mechanical and Electrical Majors Based on the Integration Project Empowered by Artificial Intelligence. In Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME; ISBN 978-989-758-630-9, SciTePress, pages 496-505. DOI: 10.5220/0011914400003613

in Bibtex Style

@conference{nmdme22,
author={Xingang Shen and Liming Peng and Guiyang Jin and Aiguo Jin and Jianwei Shen},
title={Exploration and Practice of the Talent Training Model of Mechanical and Electrical Majors Based on the Integration Project Empowered by Artificial Intelligence},
booktitle={Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME},
year={2022},
pages={496-505},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011914400003613},
isbn={978-989-758-630-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on New Media Development and Modernized Education - Volume 1: NMDME
TI - Exploration and Practice of the Talent Training Model of Mechanical and Electrical Majors Based on the Integration Project Empowered by Artificial Intelligence
SN - 978-989-758-630-9
AU - Shen X.
AU - Peng L.
AU - Jin G.
AU - Jin A.
AU - Shen J.
PY - 2022
SP - 496
EP - 505
DO - 10.5220/0011914400003613
PB - SciTePress