A Program Based on Artificial Intelligence to Enhance Prospective Teachers' English Pronunciation

The current study investigated the effect of using a program based on Artificial Intelligence (AI) to enhance prospective teachers' English pronunciation. The researcher used English Language Speech Assistant (ELSA) Speak Application as one of the AI applications that is proved to be effective in teaching pronunciation. A quasi-experimental pre-post test control group design was employed. A stratified random sample of third - year Faculty of Education English majors enrolled in the first semester of the academic year 2023-2024 was assigned to the study. The study was conducted in the phonology course; one session a week. Each session, according to the faculty byelaw, lasted for three and a half hours. Fifty participants were divided into two intact groups: an experimental group and a control one. A program was designed by the researcher in the light of ELSA Speak Application and was used with the experimental group, whereas, the control group received regular instruction. Data were collected by a pre-post English pronunciation test. Analysis of data obtained showed that the experimental group achieved a higher degree of improvement in the post testing than the control group in the English pronunciation test. Recommendations and suggestions for further research were presented.