Peer-reviewed research
Computer-assisted pronunciation training for foreign language learning of grammatical features
Elsayed Issa and Gus Hahn-Powell, Language Learning & Technology, 2025
Read the originalRead on October 17, 2026
- What it is
- A controlled study of a pronunciation trainer built on a phoneme-based, fine-tuned speech recognition model, which gave corrective feedback on Arabic phrases. The trainer group was compared with an in-class control group.
- How much weight it carries
- Peer-reviewed, with a pretest and posttest. Only 26 students, three phrases and one course, so treat it as an early result for speech-recognition feedback.
Facts taken from this source
- In the 2025 Arabic pronunciation study, 26 American college students were assigned to two groups.
“A total of 26 American college students studying Arabic were assigned to two groups.” (Abstract)
- In the 2025 Arabic study, the group that used the automatic pronunciation trainer scored significantly better on the posttest than the in-class control group.
“The results showed that the experimental group performed significantly better in the posttest than the control group, suggesting that the explicit, corrective feedback helped learners improve their pronunciation of the three phrases.” (Abstract)