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IJIET 2024 Vol.14(6): 828-833
doi: 10.18178/ijiet.2024.14.6.2108

AI in Language Education: Enhancing Learners’ Speaking Awareness through AI-Supported Training

Fan Yang1,*, Kangxi Li1, and Ruilin Li2
1. School of Foreign Studies, Hefei University of Technology, Hefei, China
2. Institute of Higher Education, Dalian University of Technology, Dalian, China
Email: F.YangEdu@foxmail.com (F.Y.); richardlkx@126.com (K.L.); lirl21@dlut.edu.cn (R.L.)
*Corresponding author

Manuscript received February 5, 2024; revised March 12, 2024; accepted March 25, 2024; published June 17, 2024

Abstract—This study reported teaching practices using AI-supported training to enhance English language learners’ speaking awareness in instructional contexts. The study involved 36 intermediate-level English language learners in engineering majors from a research university in China. Participants engaged in a language training project using a spoken dialog system called TalkAI as technical support. The training process and its impact were recorded and analyzed with quantitative data derived from AI scoring feedback on pronunciation, grammar, and usage performance, as well as qualitative data obtained from student self-reports. Results indicate that students made significant progress in overall speaking performance through AI-powered training, as evidenced by improvements in scoring reports and the length of student responses. In addition, students managed to articulate specific statements regarding their speaking skills, develop systematic judgments concerning personal performances, and deploy targeted strategies in formulating follow-up action plans. These findings underscore the potential of AI-supported training in fostering positive shifts in students' language awareness within instructional contexts.

Keywords—language awareness, generative AI, scoring rubrics, rubric training, speech skills, educational technology


Cite: Fan Yang, Kangxi Li, and Ruilin Li, "AI in Language Education: Enhancing Learners’ Speaking Awareness through AI-Supported Training," International Journal of Information and Education Technology vol. 14, no. 6, pp. 828-833, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net
  • Article Processing Charge: 800 USD


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