A Study on the Improvement of Chinese Secondary School Students’ English Reading Skills Based on Personalized Learning Functions in Artificial Intelligence Tools

DOI

10.2991/978-94-6463-574-4_64How to use a DOI?

Keywords

English reading; Hadoop; Spark; teaching strategy

Abstract

With the development and advancement of technology, the artificial intelligence background of computers is getting deeper and deeper into every field of development. Also because of the advancement of computer technology, the development of various industries can not be separated from the advancement and support of computing technology. Based on the background of the development of big data, this paper researches and explores the improvement of Chinese secondary school students’ English proficiency. Based on the rapid development of today’s society, a higher and higher level of English is being needed. In order to follow up the basic language quality requirements for Chinese secondary school students in the new era, and also to improve the English reading ability of today’s secondary school students, this study investigates the English learning ability of secondary school students based on the current learning platform. The innovation of this paper is to apply the existing big data background of artificial intelligence to improve the reading ability of secondary school students, which is undoubtedly a big breakthrough in cross-study. The existing computer-based big data learning platform is used to analyse the factors affecting secondary school students’ English reading ability and improve them wherever possible. With the rapid development of AI technology, the education sector is beginning to see opportunities for change. Artificial intelligence can tailor personalised learning paths and teaching content for each student through big data analysis and intelligent algorithms. This type of personalised learning can better meet the needs of students, identify and cultivate potential, and provide real-time feedback and guidance during the learning process. Compared with traditional one-size-fits-all teaching, personalised learning can maximise students’ interest and initiative in learning and enable each student to excel.

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.

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TY  - CONF
AU  - Hui Wang
PY  - 2024
DA  - 2024/11/21
TI  - A Study on the Improvement of Chinese Secondary School Students’ English Reading Skills Based on Personalized Learning Functions in Artificial Intelligence Tools
BT  - Proceedings of the 4th International Conference on Internet, Education and Information Technology (IEIT 2024)
PB  - Atlantis Press
SP  - 556
EP  - 562
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-574-4_64
DO  - 10.2991/978-94-6463-574-4_64
ID  - Wang2024
ER  -