Proceedings of the 2024 3rd International Conference on Science Education and Art Appreciation (SEAA 2024)

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Training Path of Artificial Intelligence Innovation Practice under the Integration of Major and Industry

Authors
Songsong Wang1, *, Ouguan Xu1
1Department of Information Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou, China
*Corresponding author. Email: wss@zjweu.edu.cn
Corresponding Author
Songsong Wang
Available Online 29 September 2024.
DOI
10.2991/978-2-38476-291-0_31How to use a DOI?
Keywords
Training Path; Artificial Intelligence; Innovative practice; Integration of Major and Industry; Intelligent water conservancy
Abstract

How to integrate major and industry is a problem faced by application-oriented undergraduate colleges with distinctive industry characteristics. This paper research the Artificial Intelligence (AI) major and water conservancy industry, and the cultivation path of innovative and practical intelligent water conservancy talents under the “integration of major and industry”. The innovation practice teaching mode is based on industry problem and AI’s advanced technology orientation, and realizes the organic unity of innovation practice connotation and path. We design a talent training path with “three databases” (basic database, project database, ideological and political database) as the main means and progressive practice teaching as the main means. This method has been implemented for 3 years in the AI major under the background of water conservancy industry, and has achieved good results in the innovation practice.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Science Education and Art Appreciation (SEAA 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 September 2024
ISBN
978-2-38476-291-0
ISSN
2352-5398
DOI
10.2991/978-2-38476-291-0_31How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Songsong Wang
AU  - Ouguan Xu
PY  - 2024
DA  - 2024/09/29
TI  - Training Path of Artificial Intelligence Innovation Practice under the Integration of Major and Industry
BT  - Proceedings of the 2024 3rd International Conference on Science Education and Art Appreciation (SEAA 2024)
PB  - Atlantis Press
SP  - 243
EP  - 251
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-291-0_31
DO  - 10.2991/978-2-38476-291-0_31
ID  - Wang2024
ER  -