Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

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Research on the Solution of Vocational English Online Education Based on Artificial Intelligence

Authors
Qiren Wang1, Ziming Zeng2, *
1City University of Macau, Taipa Xu Ri Sheng Yin Road, Macau, People’s Republic of China
2School of Automotive and Transportation Engineering, Shenzhen Polytechnic, Shenzhen, People’s Republic of China
*Corresponding author. Email: zzm1983@szpt.edu.cn
Corresponding Author
Ziming Zeng
Available Online 12 December 2022.
DOI
10.2991/978-94-6463-024-4_74How to use a DOI?
Keywords
Professional English; Big Data; Machine Learning; Solution
Abstract

With the rapid development of mobile Internet, vocational English online vocational education has won the favor of a large number of users for its strong practicality and convenience. Students can make up for the limited amount of professional class hours in schools by learning relevant courses. However, due to the uneven pre-school foundation and the ability to learn and master knowledge of vocational education students, many pain points still exist, such as the teaching quality of students cannot be guaranteed in the learning process, and the knowledge learned is out of line with the needs of enterprises. To solve this problem, this paper proposes a solution for vocational education on the vocational English line based on big data and machine learning, which aims to use big data and machine learning methods to improve students’ learning effect and enterprise practical ability through adaptive teaching and practical courses, and provide students with opportunities to go to enterprises for practical training by establishing contacts with enterprises, so that students can clearly understand what kind of talents enterprises need, So as to selectively learn the corresponding professional knowledge on the platform, make up for the lack of course hours, and improve the employability.

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.

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Volume Title
Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
12 December 2022
ISBN
10.2991/978-94-6463-024-4_74
ISSN
2589-4900
DOI
10.2991/978-94-6463-024-4_74How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Qiren Wang
AU  - Ziming Zeng
PY  - 2022
DA  - 2022/12/12
TI  - Research on the Solution of Vocational English Online Education Based on Artificial Intelligence
BT  - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)
PB  - Atlantis Press
SP  - 709
EP  - 717
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-024-4_74
DO  - 10.2991/978-94-6463-024-4_74
ID  - Wang2022
ER  -