The impact of mobile learning devices on the English academic performance of college students: factor analysis

To address the issues of low accuracy and poor effectiveness of factor analysis on the impact of existing mobile learning devices on the English learning performance of college students, based on factor analysis, this study focuses on the impact of mobile learning devices on the English learning performance of college students. Firstly, collect and normalise data on factors influencing academic performance. Then, construct a factor analysis model, calculate the eigenvalues and variance contribution rate, and select common factors. Finally, a multiple linear regression model is constructed to analyse the influencing factors of mobile learning devices on the English learning performance of college students. The experimental results show that the coverage rate of the influencing factors in this method is higher than 93%, the analysis accuracy is high, and the AUC area under the ROC curve is close to 1, indicating good analysis results.

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Publication Details

Journal
International Journal of Continuing Engineering Education and Life-Long Learning
Published
2025-01-01
DOI
https://doi.org/10.1504/ijceell.2025.143795
Primary Topic
Technology-Enhanced Education Studies
Type
article
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article

The impact of mobile learning devices on the English academic performance of college students: factor analysis

Ying Song
International Journal of Continuing Engineering Education and Life-Long Learning
Technology-Enhanced Education Studies
article

The impact of mobile learning devices on the English academic performance of college students: factor analysis

Ying Song
article en

Abstract

To address the issues of low accuracy and poor effectiveness of factor analysis on the impact of existing mobile learning devices on the English learning performance of college students, based on factor analysis, this study focuses on the impact of mobile learning devices on the English learning performance of college students. Firstly, collect and normalise data on factors influencing academic performance. Then, construct a factor analysis model, calculate the eigenvalues and variance contribution rate, and select common factors. Finally, a multiple linear regression model is constructed to analyse the influencing factors of mobile learning devices on the English learning performance of college students. The experimental results show that the coverage rate of the influencing factors in this method is higher than 93%, the analysis accuracy is high, and the AUC area under the ROC curve is close to 1, indicating good analysis results.

International Journal of Continuing Engineering Education and Life-Long LearningVol. 35(1/2)
Anhui University of Finance and Economics (CN)
Quality Education
Openalex Percentile: Top 100%
Technology-Enhanced Education Studies
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The impact of mobile learning devices on the English academic performance of college students: factor analysis — Ying Song · International Journal of Continuing Engineering Education and Life-Long Learning (2025) | TGRS Research Map | TGRS