Title: Logistic regression analysis of college students' mobile learning attitude and its influencing factors

Authors: Quan Lin

Addresses: Nanjing Normal University of Special Education, Nanjing, Jiangsu, China

Abstract: In order to improve the quality of students' mobile learning, this study carried out a logistic regression analysis of college students' mobile learning attitude and its influencing factors. Firstly, the university students' mobile learning attitude is analysed theoretically, and then the influencing factor structure model is constructed by selecting five indicators: family, peer, media form, media content and learning support service. Based on this, the questionnaire design is completed. Finally, based on the obtained survey data, the logistic regression model is constructed to complete the regression analysis of the influencing factors of students' mobile learning attitude. The empirical results show that the five factors can significantly affect college students' mobile learning attitude, and the order of importance is media content>peer>media form>family>learning support services.

Keywords: mobile learning; students' learning attitude; influencing factors; logistic regression model.

DOI: 10.1504/IJCAT.2024.146138

International Journal of Computer Applications in Technology, 2024 Vol.75 No.2/3/4, pp.130 - 137

Received: 23 Aug 2024
Accepted: 02 Jan 2025
Published online: 07 May 2025 *

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