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

Authors: Ying Song

Addresses: College of Languages and Media, Anhui University of Finance and Economics, Bengbu, 233030, China

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.

Keywords: mobile learning devices; college students; English academic performance; factor analysis.

DOI: 10.1504/IJCEELL.2025.143795

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.1/2, pp.127 - 141

Received: 03 Apr 2024
Accepted: 09 Sep 2024
Published online: 07 Jan 2025 *

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