Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

August 5, 2024


Pages


DOI

Article

Exploring the Reform Path of English Teaching in Colleges and Universities from the Perspective of New Liberal Arts

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Authors

Xuexia Wang Affiliation:
ChangChun Sci-Tech University, Changchun, Jilin, 130600, China.


Abstract

With the advancement of economic globalization, current English teaching in colleges and universities no longer meets the social demand for cultivating liberal arts talents in the new era. The study combines the six stages of the BOPS method and proposes an online, hybrid model for teaching English. Based on this, a teaching experiment is carried out on two parallel classes of students in a university, and the English test scores and specific dimensions of the two courses before and after the experiment are compared. Then, an intelligent algorithm was used to design an English teaching effect evaluation method to assess the comprehensive effect of English teaching from the dimensions of teachers, students, and grades and to explore the effectiveness of the online, hybrid English teaching model. After the teaching experiment, the total English achievement scores and all dimensions of the students in the test group and the control group showed significant differences at the 5% level, with the total English achievement scores of the test group being 14.18% higher and 20.34% higher than before the experiment. The overall English teaching effect is above moderate, with a comprehensive score of 3.387. The online, hybrid English teaching mode positively enhances the effectiveness of English teaching in colleges and universities.


Keywords

BOPS method, Intelligent algorithm, Teaching experiment, Teaching effect evaluation, English teaching, 97B20


Citation

Wang, X. (2024). Exploring the reform path of english teaching in colleges and universities from the perspective of new liberal arts. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2004
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