Optimal Processing of English Education Model Based on Artificial Intelligence Technology
- DOI
- 10.2991/978-94-6463-058-9_80How to use a DOI?
- Keywords
- Artificial Intelligence; English Education; Optimizing Education; Learning Adaptability
- Abstract
With the rapid development of science and technology, the society has entered a new era of knowledge and information. Modern information teaching has changed the traditional curriculum concept, improved the curriculum model and improved the teaching method in the curriculum field. This paper studies the optimization of English education mode based on artificial intelligence technology, mainly using SAIES system, so that middle school students are placed in an intelligent environment. The practice of SAIES system in middle school English teaching can be divided into six steps. The teaching process of SAIES system consists of ten steps. Finally, the reliability and validity of the system are tested. The results show that the overall reliability of the learning adaptability level questionnaire is 0.913, and the reliability of the system is very good.
- 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 - Linfeng Zhang PY - 2022 DA - 2022/12/27 TI - Optimal Processing of English Education Model Based on Artificial Intelligence Technology BT - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022) PB - Atlantis Press SP - 489 EP - 494 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-058-9_80 DO - 10.2991/978-94-6463-058-9_80 ID - Zhang2022 ER -