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

Bin Zou, Yiran Du, Zhimai Wang, Jinxian Chen, Weilei Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
JournalSAGE Open
Volume13
Issue number3
DOIs
Publication statusPublished - 1 Jul 2023

Keywords

  • artificial intelligence
  • English (second language)
  • feedback
  • mixed method design
  • speaking skills
  • speech evaluation

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