Exploring the Teaching Mode of Improving The IT Ability of Normal University Students Under the Background of GAI
- DOI
- 10.2991/978-2-38476-384-9_21How to use a DOI?
- Keywords
- Generative artificial intelligence; BOPPPS; Teaching mode; Information technology ability
- Abstract
The information technology ability of normal university students is an important part of the ability system of normal university students. This paper analyzes the characteristics of the Information technology ability system, generative artificial intelligence and BOPPPS of normal University students, and puts forward the BOPPPS teaching mode under the background of GAI to promote the improvement of normal university students’ information technology ability. Then it analyzes the process and advantages of BOPPPS mode under the background of GAI and the concrete embodiment of GAI technical support under this mode. Finally, based on the analysis of the teaching mode, it puts forward the teaching strategy in the implementation process, in order to provide certain reference value for the research on improving the information technology ability of normal college students.
- Copyright
- © 2025 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 - Jing Chen PY - 2025 DA - 2025/04/03 TI - Exploring the Teaching Mode of Improving The IT Ability of Normal University Students Under the Background of GAI BT - Proceedings of the 2024 3rd International Conference on Educational Science and Social Culture (ESSC 2024) PB - Atlantis Press SP - 176 EP - 182 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-384-9_21 DO - 10.2991/978-2-38476-384-9_21 ID - Chen2025 ER -