The AI-Integrated English Learning of Chinese University Students: Preference, Effectiveness and Challenge


  •  Mengru Zhang    
  •  Siqing Li    

Abstract

With the wider application of artificial intelligence (AI) in education, English as a Foreign Language (EFL) learning has experienced a dramatic transformation. To better integrate new technologies with language learning, it’s crucial to conduct a thorough survey of learners’ perceptions. This study examines the perceptions, experiences, and expectations of Chinese college students regarding AI-integrated English learning methods. The study implements a mixed-methods approach. Quantitative data was collected through a questionnaire, and semi-structured interviews helped to gain qualitative data to know about students’ perceptions and preferences. Results show that most of the students hold positive attitudes towards AI-integrated learning methods, regarding AI tools as effective in improving learners’ language proficiency. However, challenges also emerged during actual application. This study also highlights students’ expectations of more advanced and personalized AI tools. This research bears significance in exploring and maximizing the effects of AI-integrated learning methods.



This work is licensed under a Creative Commons Attribution 4.0 License.
  • ISSN(Print): 1925-4768
  • ISSN(Online): 1925-4776
  • Started: 2011
  • Frequency: quarterly

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