Analysis on the Ideological and Political Education of Artificial Intelligence Fundamentals in the Professional Major of Unmanned Intelligence
- DOI
- 10.2991/978-2-38476-146-3_52How to use a DOI?
- Keywords
- ideological and political education; artificial intelligence fundamentals; unmanned intelligence major
- Abstract
Artificial intelligence fundamentals, as a professional foundation course in the field of unmanned intelligence, has become increasingly important in higher education. How to practice the educational concept of “three in one”, especially the construction of ideological and political education, is a topic that needs to be deeply explored. Starting from the needs of ideological and political education in the field of unmanned intelligence, combined with the characteristics of artificial intelligence basic courses and innovative modern educational technologies and teaching methods, this article provides a considerable plan, providing a good reference for the construction of ideological and political education in the course Artificial Intelligence Fundamentals.
- Copyright
- © 2023 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
TY - CONF AU - Xiaojun Guo AU - Wei Jiang AU - Longqing Li AU - Wei Liu PY - 2023 DA - 2023/11/29 TI - Analysis on the Ideological and Political Education of Artificial Intelligence Fundamentals in the Professional Major of Unmanned Intelligence BT - Proceedings of the 2023 8th International Conference on Modern Management and Education Technology (MMET 2023) PB - Atlantis Press SP - 474 EP - 482 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-146-3_52 DO - 10.2991/978-2-38476-146-3_52 ID - Guo2023 ER -