Exploring the Path of Digital Intelligence Empowerment in University English Teaching Reform
- DOI
- 10.2991/978-2-38476-311-5_45How to use a DOI?
- Keywords
- Artificial Intelligence; University English; Teaching Model
- Abstract
With the widespread introduction of artificial intelligence (AI) in the field of education, digital empowerment is driving the transformation and upgrading of traditional teaching methods, presenting new opportunities and challenges for smart university English teaching. Against this backdrop, this article explores the changes AI brings to university English teaching and offers related insights. By leveraging technologies such as big data for intelligent analysis of knowledge points and uncovering ideological and political elements within teaching content, the traditional boundaries of time and space are transcended, fostering a deep integration of digital technology with real teaching scenarios. This integration aims to restructure and reorganize teaching activities, ultimately improving the quality of university English teaching and enhancing students’ English proficiency and higher-order abilities.
- 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
TY - CONF AU - Jingjia Guo AU - Lei Zhang PY - 2024 DA - 2024/12/01 TI - Exploring the Path of Digital Intelligence Empowerment in University English Teaching Reform BT - Proceedings of the 2024 4th International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2024) PB - Atlantis Press SP - 352 EP - 357 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-311-5_45 DO - 10.2991/978-2-38476-311-5_45 ID - Guo2024 ER -