Case Design of Discipline Teaching Integration Based on Artificial Intelligence and Information Technology
- DOI
- 10.2991/978-94-6463-058-9_120How to use a DOI?
- Keywords
- Discipline teaching integration; artificial intelligence; information technology
- ABSTRACT
In view of the problems of poor integration effect of current discipline teaching, and generally low teaching level, this paper adopts the method of literature and case study to conduct in-depth research, and proposes the case design of discipline teaching integration based on artificial intelligence and information technology. Firstly, the theory of multidisciplinary integration and systematic science is analyzed and parameterized. Then combining the theory of multidisciplinary integration to construct the subject teaching integration model based on artificial intelligence and information technology. Finally, according to the constructed model, the case design of "face recognition system development" is carried out. The experimental results show that the model designed in this paper has high practicability, and learning through this model, students can acquire rich knowledge and results. Furthermore, the learning initiative is significantly improved, and innovative thinking is significantly improved, so as to improve the teaching integration effect and teaching level to a large extent.
- 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 - Yanyan Huang PY - 2022 DA - 2022/12/27 TI - Case Design of Discipline Teaching Integration Based on Artificial Intelligence and Information Technology BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 767 EP - 772 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_120 DO - 10.2991/978-94-6463-058-9_120 ID - Huang2022 ER -