Research on the Construction of Theory and Practice Integrated Course Materials from the Perspective of Artificial Intelligence
- DOI
- 10.2991/978-94-6463-040-4_39How to use a DOI?
- Keywords
- long short-term memory; support task; integration of theory and practice; information resources
- Abstract
This paper conducts a study on the transformation of vocational education course materials. The framework of course materials is built with the support missions as its motivation. Long short-term memory network is used to establish the correlation between practical tasks and equipment theory, so as to arrange theory and practice content. The information resources, including equipment model, case base and law base, are constructed. Then cases and regulations are integrated into the practical tasks in the form of points to subtly accomplish ideological and political education implicitly. In this way, what’s built is the course materials of the integrated system to theory and practice based on mission supports. Practice has proven that the course materials are closely related to the training and reality and meet the students’ post-holding needs, which can promote the improvement of professional teaching quality and shorten the pre-service training cycle.
- 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 - Xurong Liang AU - Le Qi AU - Bingmin Shang PY - 2022 DA - 2022/12/27 TI - Research on the Construction of Theory and Practice Integrated Course Materials from the Perspective of Artificial Intelligence BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 256 EP - 261 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_39 DO - 10.2991/978-94-6463-040-4_39 ID - Liang2022 ER -