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Guan,H. (2024). The impact of artificial intelligence on English learning among Chinese undergraduates. Advances in Engineering Innovation,14,12-29.
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The impact of artificial intelligence on English learning among Chinese undergraduates

Heyuan Guan *,1,
  • 1 University of Glasgow

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-3903/2024.18123

Abstract

With the introduction of artificial intelligence (AI) into education, China’s English education in the university has also been affected. The COVID-19 pandemic accelerated the application of AI tools in education. This study investigates the practical use of AI tools in English learning among Chinese undergraduates before, during, and after the pandemic. Students’ perspectives were collected through questionnaires. And its data was analyzed by using frequency analysis and multiple response analysis in SPSS. Teachers’ perspectives were gathered through interview. The study explored their views, attitudes and experience with AI-assisted learning tools such as online learning platforms, generative AI, machine translation tools and speech recognition software. The findings revealed that the integration of AI into English learning has produced positive outcomes in practical application. Students have actively embraced AI-assisted English learning, with AI tools meeting diverse learning needs, significantly improving learning efficiency, and personalizing learning resources. Some teachers also recommend students to use AI tools to assist their learning as needed. Although teachers and students generally holding a positive attitude towards AI-assisted English learning, they all express concerns about the ethical use and over-reliance on AI. Future research should focus on establishing ethical guidelines for AI use, strengthening regulation and innovating technologies for AI tools.

Keywords

AI; English Learning; Education; Chinese Undergraduates

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Cite this article

Guan,H. (2024). The impact of artificial intelligence on English learning among Chinese undergraduates. Advances in Engineering Innovation,14,12-29.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Journal:Advances in Engineering Innovation

Volume number: Vol.14
ISSN:2977-3903(Print) / 2977-3911(Online)

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