Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

February 26, 2024


Pages


DOI

Article

Analysis of Factors Influencing the Adaptability of Blended Learning in English

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Authors

Xueying Li Affiliation:
Cang Zhou Normal University, Cangzhou, Hebei, 061001, China.
and Qing Li Affiliation:
Cangzhou Normal University, Cangzhou, Hebei, 061000, China.


Abstract

Based on the POA concept, this study constructed a teacher-led wise teaching model and a student-led wise learning model, emphasizing the interaction between teachers and students in the intelligent learning platform. The teaching process includes independent learning before class, interactive teaching during class and evaluation after class. Empirical Analysis showed that this teaching model significantly improved students’ autonomous learning ability. The study used factor analysis and regression analysis to analyze the effects of factors such as motivation, intelligence literacy, learning self-efficacy, teacher support and resource platform use on learning adaptability. The results showed that these factors had a significant positive effect on improving learning adaptability. Specifically, motivation had a 50% influence on learning adaptation, intelligent literacy increased the efficiency of resource platform use by 45%, learning self-efficacy increased learning effectiveness by 40%, teacher support increased students’ motivation by 30%, and the effectiveness of resource platform use increased by 35%. Overall, the blended teaching model effectively promoted students’ learning adaptation and improved teaching effectiveness, and the study provides a necessary theoretical basis and practical guidance for future teaching reform.


Keywords

POA concept, Factor analysis method, Regression analysis, Wise Learning Platform, Learning adaptability, 92D40


Citation

Li, X. & Li, Q. (2024). Analysis of factors influencing the adaptability of blended learning in english. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0350

Published by: Engineering Journals

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