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

Artificial Intelligence-Assisted Teaching Strategies for English Cultural Communication in Colleges and Universities

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Authors

Yanping He Affiliation:
Communication University of China Nanjing, School of International Communication, Nanjing, Jiangsu, 211172, China.


Abstract

This paper utilizes artificial intelligence-related technologies, such as intelligent agents and text mining, to form the two basic modules of the English Cultural Communication Platform, which facilitates simple online English cultural communication. This study employs questionnaires and surveys to comprehensively understand and analyze the English cultural communicative competence of international education masters who have used the English cultural communication platform for teaching purposes. Independent sample t-tests and one-way ANOVA were used to look into how it affected different parts of English cultural communication competence. The results showed that most students could learn about the lives and cultures of other countries through the platform. 60.07%, 80%, and 90% of the students believe that they can effectively improve their knowledge, attitude, and skills in English cultural communication, respectively. The length of teaching practice on the English cultural communication platform has a significant effect on English cultural sensitivity and English cultural efficacy (P = 0.002), while English proficiency has little effect on influencing English cultural communication skills (P > 0.05). Through this platform, students can effectively develop multicultural communication skills and awareness.


Keywords

Intelligent Agent, Text mining, English cultural communication platform, One-way ANOVA, 03B70


Citation

He, Y. (2024). Artificial intelligence-assisted teaching strategies for english cultural communication in colleges and universities. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2080
1 Total citations
0.23 FWCI
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(2 years)
17 References
Open Access Yes
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