Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

<Previous Article In Volume
Next Article In Volume>

Based on the Principal Component Analysis and Ridge Regression Equation to Explore the Influencing Factors of English Ability in Chengdu Technological University, China

Authors
Ziqian Liu1, Feilong Qin1, 4, *, Zheng Zeng2, *, Shilin Wang3, Jie He1, Ke Wang1, Liuli Lu1
1School of Big Data and Artificial Intelligence, Chengdu Technological University, Chengdu, 611730, China
2School of Foreign Languages and International Education, Chengdu Technological University, Chengdu, 611730, China
3School of Network and Communication Engineering, Chengdu Technological University, Chengdu, 611730, China
4College of Mathematics and Science, University of Electronic Science and Technology of China, Chengdu, 611731, China
*Corresponding author. Email: lida_112@163.com
*Corresponding author. Email: zzheng2@cdtu.edu.cn
Corresponding Authors
Feilong Qin, Zheng Zeng
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_92How to use a DOI?
Keywords
Evaluation model; Statistical modeling; English ability; Principal component analysis; Ridge regression
Abstract

In order to explore the evaluation model of college students’ English ability, the questionnaire survey in this paper data statistics on interest in English reading, grammatical analysis ability, reading skills, etc. Then this paper uses Principal Component Analysis (PCA) to statistical modeling and analyzes the English ability of students in Chengdu Technological University, China. Using Ridge Regression to explore and analyze the factors that affect English grade, and establish a prediction model of variables and performance. This article aims to provide new ideas and methods for teachers teaching in different levels of classes and for non-native English-speaking students in the process of learning English.

Copyright
© 2022 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_92
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_92How to use a DOI?
Copyright
© 2022 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  - Ziqian Liu
AU  - Feilong Qin
AU  - Zheng Zeng
AU  - Shilin Wang
AU  - Jie He
AU  - Ke Wang
AU  - Liuli Lu
PY  - 2022
DA  - 2022/12/27
TI  - Based on the Principal Component Analysis and Ridge Regression Equation to Explore the Influencing Factors of English Ability in Chengdu Technological University, China
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 729
EP  - 739
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_92
DO  - 10.2991/978-94-6463-044-2_92
ID  - Liu2022
ER  -