Research on the Transformation of English Teaching Mode in Middle Schools Driven by AI: A Case Study of Middle Schools in Ulanqab City

Journal: Journal of Higher Education Research DOI: 10.32629/jher.v6i2.3906

Shuanqiao Qi, Junfeng Huangfu, Hong Liang

Jining Normal University, Ulanqab 012000, Inner Mongolia, China

Abstract

This paper focuses on the revolutionary impact of Artificial Intelligence(AI) technology on middle school English teaching modes. By exploring how AI technology facilitates personalized teaching, contextualized learning, and blended online-offline teaching modes, it unveils the significant advantages of AI in enhancing teaching efficiency, stimulating students' interest, and bolstering language practice abilities. Indeed, AI has optimized traditional teaching modes and injected new vitality into middle school English teaching. However, the integration of AI technology with English teaching also faces numerous challenges, requiring collaboration among government departments, teacher training departments, schools, and other stakeholders to address them collectively. In summary, as the integration of AI with education and teaching continues to deepen, educators should constantly promote the utilization of AI's strengths and explore a path for harmonious coexistence and development between humans and AI technology.

Keywords

artificial intelligence(AI) , English teaching mode, technology

References

[1] Zhao Shiju. ChatGPT's Challenges to Human Language Ability and Language Education, and Corresponding Strategies [J]. Yangtze River Academic, 2023, (04): 114-118.
[2] Wu Dan. Artificial Intelligence Promotes Innovation in Education [N]. People's Daily, 2022-12-22(5).
[3] Mao Wenwei, Xie Dong, Lang Hanxiao. ChatGPT Enabling Japanese Language Teaching in the New Era: Scenarios, Issues, and Countermeasures [J]. Foreign Language Research, 2023, (06): 25-33.
[4] Hu Zhuanglin. ChatGPT on Foreign Language Teaching [J]. Chinese Foreign Languages, 2023, 20(03): 1+12-15.
[5] Song Fei, Guo Jiahui, Qu Chang. The Application System and Practice of ChatGPT in Teaching Chinese as a Foreign Language [J]. Journal of Beijing International Studies University, 2023, (6): 110-128.
[6] Wen Qiufang. English Education in the Era of Artificial Intelligence: An Analysis of the Four-Element New Curriculum Model [J]. Chinese Foreign Languages, 2024, 21(03): 1+11-18. DOI: 10.13564/j.cnki.issn.1672-9382.2024.03.001.
[7] Ruiz Simón, Patrick Rebuschat, and Detmar Meurers. Supporting Individualized Practice through Intelligent CALL. [A). In Simón Ruiz,Patrick Rebuschat, Detmar Meurers (eds. ) Practice and Au-tomatization in Second Language Research [C]. London: Routledge, 2023:119-143.
[8] Mustapha, Riad, et al. Towards an Adaptive E-learning System Based on Deep Learner Profile,Machine Learning Approach,and Reinforcement Learning [J]. International Journal of Advanced Computer Science and Applications, 2023, 14 (05): 265-274.
[9] Ji, Hyangeun, Insook Han, and Yujung Ko. A Systematic Review of Conversational Al in Lan-guage Education: Focusing on the Collaboration with Human Teachers [J].Journal of Research on Technology in Education, 2023, 55 (01): 48-63.
[10] An Xin, Shen Xi, Zhou Ying, et al. The Integrated Development of Artificial Intelligence and Teaching from the Perspective of English Teachers: Opportunities, Challenges, and Paths for Improvement [J]. Modern Educational Technology, 2023, 33(02): 71-79.

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