Exploloring Eflstudents Attitudes Towards Al -powered Language Learning Applications For Speaking Skills Developement
Résumé: In today's globalized world, developing proficient speaking skills is crucial for effective communication and professional success. Hence, the role and importance of technology, particularly Artificial Intelligence-powered tools, have become increasingly significant in enhancing language learning processes. The present study sets out to get insight into English as a Foreign Language students' attitudes of AI-powered language learning applications and their effectiveness in developing speaking skills compared to traditional learning methods. Accordingly, within the context of this study, three research questions are raised: (1) What are the EFL students’ attitudes towards AI-powered language learning apps for enhancing their speaking skill? (2) What are the EFL students’ opinions regarding the effectiveness of AI-powered language learning apps on students’ achievements in speaking proficiency compared to traditional methods? (3) How can AIpowered language learning apps serve as complementary tools for improving EFL learners’ speaking skill? To answer these questions, data were collected through a mixed questionnaire administered face to face and via social media to one hundred sixty EFL students at the Department of Foreign Languages, Mila University Center. The results indicate that there is a general positive inclination towards AI-powered apps for speaking skill development among EFL students. Furthermore, while EFL students generally acknowledge the effectiveness of AI-powered apps in significantly improving speaking skills, many may not entirely endorse them as a superior replacement for traditional methods. The results also reveal that AI-powered language learning apps serve as useful complementary tools that enhance EFL learners' speaking proficiency by offering trusted and convenient feedback, comprehensive assessments of pronunciation and grammar, and vocabulary enrichment features. On the basis of the research findings, recommendations are suggested such as looking to integrate app-based learning into the field of FL for policymakers
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