
Original Research
Oral corrective feedback (oral CF) has been widely investigated in second language pronunciation research because of its potential to promote more target-like phonological production. However, little is known about how technology-assisted oral CF affects learners’ segmental accuracy as measured through acoustic analysis, and no study to date has examined this with Kurdish EFL learners’ production of English vowels. For this purpose, sixty Kurdish EFL learners at a university in Kurdistan were randomly assigned to three groups: (a) an explicit oral CF group, receiving oral explanations supported by visual feedback in Praat; (b) an implicit oral CF group, receiving recasts and input enhancement via YouGlish; and (c) a control group, receiving no oral CF. Ten Native American English speakers provided baseline acoustic data for the target vowels. All learners completed a pre-test, post-test, and delayed post-test two months later. Their production of /iː/ and /ɪ/ was elicited through word reading, sentence reading, and picture description. Results showed that the explicit oral CF group achieved significantly greater improvement than both the implicit oral CF and control groups. Furthermore, only the explicit group maintained gains at the delayed post-test, indicating more durable effects of technology-assisted teacher feedback.
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Oral Corrective Feedback; HVPT; Kurdish EFL Context; Praat; Vowel Production
Publisher’s Note
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Acknowledgements
Not applicable.
Funding
This research received no external funding.
CRediT Authorship Contribution Statement
Rizgar Qasim Mahmood: Original Draft, Conceptualization, Methodology, Investigation, Data Curation, Writing- Review & Editing
Xiaoping Gao: Supervision, Project Administration, Validation, Writing – Review & Editing
Alfredo Herrero de Haro: Supervision, Project Administration, Writing – Review & Editing
Generative AI Use Disclosure Statement
We acknowledge that the first author has used AI-based tools at several stages of this study, including Google Scholar AI to identify recent publications on the topic and ChatGPT to better understand it. Throughout the first and final drafts, Grammarly was used to improve sentence flow and make the writing more coherent, free of punctuation and grammatical errors (Al Sawi & Alaa, 2024). However, we confirm that all the information and references used in this study have been checked and verified by the authors. They take full responsibility for the accuracy of the information used in this study.
Ethics Declarations
World Medical Association (WMA) Declaration of Helsinki–Ethical Principles for Medical Research Involving Human Participants
This study was conducted in accordance with the ethical principles of the World Medical Association Declaration of Helsinki. Ethical approval was obtained from the Research Ethics Committee of the University of Wollongong (Approval No. 2022/344). All participants provided informed written and oral consent prior to participation, and participation was voluntary.
Competing Interests
The authors declare that they have no competing interests.
Data Availability
The data are not publicly available because they contain confidential participant information. Access to the data is restricted to protect participant privacy and comply with the ethical conditions under which the study was approved.