 An Investigation Into Artificial Intelligence Speech Evaluation Programs With Automatic Feedback for Developing EFL Learners’ Speaking SkillsBin Zou, Yiran Du, Zhimai Wang, Jinxian Chen and Weilei Zhang SAGE Open, 2023, vol. 13, issue 3, 21582440231193818 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. Keywords: artificial intelligence; speech evaluation; English (second language); speaking skills; feedback; mixed method design (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231193818 DOI: 10.1177/21582440231193818 Access Statistics for this article More articles in SAGE Open |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.