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An Investigation Into Artificial Intelligence Speech Evaluation Programs With Automatic Feedback for Developing EFL Learners’ Speaking Skills

Author

Listed:
  • Bin Zou
  • Yiran Du
  • Zhimai Wang
  • Jinxian Chen
  • Weilei Zhang

Abstract

The development of artificial intelligence (AI) technology has enhanced the use of automated speech evaluation systems for language learners to practice speaking skills. This study investigated whether various automatic feedback offered by AI speech evaluation programs can help English as a foreign language (EFL) learners develop speaking skills. Forty EFL learners in China participated in this study. Data collection included qualitative and quantitative data. The results showed that the majority of participants believed they improved their speaking skills with the feedback offered by the AI speaking evaluation program. The findings also revealed that there were significant improvements in their mean scores of speaking skills in pre- and post-tests. Therefore, it is suggested that AI speaking evaluation systems could provide more varied textual feedback and practical suggestions to assist EFL learners in developing speaking skills.

Suggested Citation

  • Bin Zou & Yiran Du & Zhimai Wang & Jinxian Chen & Weilei Zhang, 2023. "An Investigation Into Artificial Intelligence Speech Evaluation Programs With Automatic Feedback for Developing EFL Learners’ Speaking Skills," SAGE Open, , vol. 13(3), pages 21582440231, August.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231193818
    DOI: 10.1177/21582440231193818
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    References listed on IDEAS

    as
    1. Wenqi Xiao & Moonyoung Park, 2021. "Using Automatic Speech Recognition to Facilitate English Pronunciation Assessment and Learning in an EFL Context: Pronunciation Error Diagnosis and Pedagogical Implications," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global, vol. 11(3), pages 74-91, July.
    2. Bin Zou & Xin Guan & Yinghua Shao & Peng Chen, 2023. "Supporting Speaking Practice by Social Network-Based Interaction in Artificial Intelligence (AI)-Assisted Language Learning," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    3. Ming Sung Kan & Atsushi Ito, 2020. "Language Cognition and Pronunciation Training Using Applications," Future Internet, MDPI, vol. 12(3), pages 1-14, February.
    4. Halima Bahi & Khaled Necibi, 2020. "Fuzzy Logic Applied for Pronunciation Assessment," International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), IGI Global, vol. 10(1), pages 60-72, January.
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    1. Bin Zou & Xin Guan & Yinghua Shao & Peng Chen, 2023. "Supporting Speaking Practice by Social Network-Based Interaction in Artificial Intelligence (AI)-Assisted Language Learning," Sustainability, MDPI, vol. 15(4), pages 1-19, February.

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