Open Access
Issue
SHS Web Conf.
Volume 199, 2024
2024 International Conference on Language Research and Communication (ICLRC 2024)
Article Number 01003
Number of page(s) 6
Section Language Academy and Education
DOI https://doi.org/10.1051/shsconf/202419901003
Published online 23 October 2024
  1. J. Hou, Reform of English speaking teaching mode in the era of artificial intelligence. Teach. Manag. 33, 86-88 (2019) [Google Scholar]
  2. R.E. Shazly, Effects of artificial intelligence on English speaking anxiety and speaking performance: a case study. Expert Syst. 4 (2021) [Google Scholar]
  3. M. Lin, Philosophical thinking on intelligent machines, Doctoral Thesis, Jilin University (2017) [Google Scholar]
  4. Y. Xiao, Language teaching schools from the perspective of explicit/implicit learning. J. Jinzhou Med. Univ. (Soc. Sci. Ed.) 18, 106-109 (2020) [Google Scholar]
  5. G. Granena & Y. Yilmaz, Corrective feedback and the role of implicit sequence-learning ability in L2 online performance. Lang. Learn. 69, 127-156 (2019) [CrossRef] [Google Scholar]
  6. N.C. Ellis, At the interface: Dynamic interactions of explicit and implicit language knowledge. SSLA 27, 305-352 (2005) [Google Scholar]
  7. P. Salazar Campillo, An analysis of implicit and explicit feedback on grammatical accuracy. Miscelanea J. Engl. Am. Stud. 27, 209-228 (2003) [CrossRef] [Google Scholar]
  8. Y. Tang, Research on the effectiveness of written corrective feedback in second language acquisition. J. Shaoyang Univ. (Soc. Sci. Ed.) 05, 94-98 (2019) [Google Scholar]
  9. X. Zhang & R. Zhang, Feedback, response, and learner development: A sociocultural approach to corrective feedback in second language writing. SAGE Open 13 (2023) [Google Scholar]
  10. C.A. Tung, S.Y. Chang & F.M. Peng, Correcting language errors in EFL writing by the use of COCA. Malays. J. ELT Res. 11 (2015) [Google Scholar]
  11. D. Ran, W. Yingli & Q. Haoxin, Artificial intelligence speech recognition model for correcting spoken English teaching. J. Intell. Fuzzy Syst. 40, 3513-3524 (2021) [CrossRef] [Google Scholar]
  12. X. Liu et al., Improving English pronunciation via automatic speech recognition technology. Int. J. Innov. Learn. 25, 126-140 (2019) [CrossRef] [Google Scholar]
  13. L. Zhong, Research on the application of MALLS in oral English teaching in secondary vocational schools, Master’s Thesis, Guizhou Normal University (2022) [Google Scholar]
  14. K. Liu, Research on continuous use intention of English learning APP based on artificial intelligence, Master’s Thesis, Qingdao University (2022) [Google Scholar]
  15. Y. Chen, An investigation on improving junior high school students’ English listening and speaking ability by applying “Oral 100”, Master’s Thesis, Ningxia University (2020) [Google Scholar]

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