Research on the Effectiveness of Artificial Intelligence Large Language Models Empowering English Teaching from Communicative Approach Perspective
Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i4.4303
Abstract
This paper explores LLMs' role in English teaching from the Communicative Approach, aiming to aid teaching reform. It develops the AI-CLT model to solve traditional CLT's issues like poor context and delayed feedback. Via quasi-experiments with 154 ethnic minority students across four courses, the model proves effective: the experimental group showed 29%-42% improvement in language abilities, cultural adaptability, and autonomy. It concludes AI-CLT integrates LLMs and CLT well, suitable for multi-ethnic contexts, enriching CLT theory and offering practical strategies.
Keywords
communicative approach, AI, LLMs, ELT,effectiveness
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[2] Liang Lijuan, Research on the application of network communication method in cross-cultural communication course. China Electronic Education. 2010; 12:45-49.
[3] Chen Yaoheng, Research on the applicability of communicative method in college English teaching. Education and Career. 2010; 30:141-143.
[4] Zhang Yina, Reflections on Communicative Pedagogy. Foreign Languages and Their Teaching. 2006; 04:21-23.
[5] Long Ting & Gong Yun, Enlightenment of the study of communicative law on the compilation of English textbooks in Chinese universities. Foreign Language Teaching. 2008; 06:65-68.
[6] Xu Jiajin & Zhao Chong, The Role of Large Language Models in English Language Teaching. Foreign Language Education in China. 2024; 7(01):3-10+90.
[7] Hu Kaibao & Li Xiaoqian, Development of Translation Studies in the Context of Large Language Models:Issues and Prospects. Chinese Translators Journal. 2023; 44(06):64-73+192.
[8] Xu Yuemei, Hu Ling, Zhao Jiayi, Du Wanze & Wang Wenqing, Research Progress and Enlightenment of Large Language Models and Multilingual Intelligence. Journal of Computer Applications. 2023; 43(02):1-8.
[9] Yang Lianrui, Second Language Acquisition in the Context of Large Language Model of ChatGPT. Modern Foreign Languages. 2024; 47(04):578-585.
[10] Hu Yong & Liu Chunyi, Data Ruling Large Language Models: The Values, Myths, and Challenges of Training Data in Future Digital Communications. Journal of Northwest Normal University (Social Sciences). 2024; 61(03):43-54.
[11] Yuan Yulin, How to Test ChatGPT’s Performance in Semantic Understanding and Common-Sense Reasoning: Challenges and Opportunities of Linguistics in the Era of Large Language Model. Chinese Journal of Language Policy and Planning. 2024; 9(01):49-63.
[12] Hu Kaibao & Gao Li, The Development of Foreign Language Discipline in the Context of Large Language Models: Problems and Prospects. Foreign Languages. 2024; 02:7-12.
[13] Su Qi, Application Effectiveness of Large Language Models in Second Language Teaching.Foreign Language World. 2024; 03:35-42.
[14] Xu Jun & Wang Qingran, Innovative Exploration of Foreign Language Talent Training in the Era of Digital Humanities: A Case Study of LLM Applications in ESP Writing Instruction. Foreign Languages in China. 2025; 22(01):70-80.
[15] Li Hongzheng, Wang Ruojin, Liu Fang & Feng Chong, Research on Language Model-assisted Construction of Corpus for Move Structures in Abstracts of English Scientific Articles. Foreign Language Research. 2025; 01:29-38.
[16] Chen Dajian & Hu Jiehui, Research on Automated Propositions Based on Large Language Models:A Case Study of English Reading Comprehension. Foreign Language Education. 2025; 46(02):40-47.
[17] Feng Qinghua & Zhang Kaiyi, Exploring the Capabilities of Artificial Intelligence in Assisting Foreign Language Teaching and Research—A Case Study of ChatGPT-4o and Wenxin Model 4.0. Technology Enhanced Foreign Language Education. 2024; 03:3-12+109.
[18] Kong Lei, Application of GAI in Foreign Language Teaching:A Case Study of College Critical English Course-Intensive Reading. Foreign Language Education in China. 2024; 7(01):11-18+90.
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