چکیده مقاله
This study investigates the impact of Artificial Intelligence Text to Speech AI TTS technology on English pronunciation learning among Iranian EFL learners Employing a true experimental design with quantitative analysis, the research evaluates the effectiveness of AI TTS feedback compared to traditional teacher led methods Data were collected via standardized pre and post tests administered to experimental and control groups An independent samples t test confirmed the equivalence of the groups at baseline Results indicate that AI TTS instruction significantly enhanced pronunciation performance in Iranian EFL learners, leading to higher gains in both segmental and suprasegmental features compared to traditional methods Specifically, participants in the experimental group showed a statistically significant improvement from pre test to post test, supported by large effect sizes These findings suggest important implications for educators and curriculum designers seeking to integrate AI driven tools into pronunciation instruction, fostering more interactive and learner centered approaches to language learning
کلیدواژهها
نویسندگان
Parvaneh Bakhtiyari Feizi
Master's degree student in English Language Teaching, Payam Noor University, Tehran Jonoob Branch, Tehran, Iran
رزومه علمی کاربران
درباره سیویلیکاتبلیغات در سیویلیکاآمار علمی ایرانتقویم علمی ایرانداده کاوی مقالاتطرح های پژوهشی
شیوه ارجاع
در صورتی که می خواهید در اثر پژوهشی خود به این مقاله ارجاع دهید، به سادگی می توانید از عبارت زیر در بخش منابع و مراجع استفاده نمایید: Bakhtiyari Feizi، Parvaneh،1404،The Effect of Text-to-Speech AI on Iranian EFL Learners’ Pronunciation،بیست و سومین همایش ملی پژوهش های مدیریت و علوم انسانی در ایران،تهران،https://civilica.com/doc/2602100
ارائهشده در
مجموعه مقالات بیست و سومین همایش ملی پژوهش های مدیریت و علوم انسانی در ایران30 بهمن 1404 · تهران