AI-POWERED DIGITAL TOOLS FOR ENHANCING SPEAKING PROFICIENCY FOR FOREIGN LANGUAGE STUDENTS
Keywords:
Artificial Intelligence (AI), Speaking Proficiency, Speech Recognition, Chatbots, Voice Analysis Tools, CEFR (Common European Framework of Reference),Real-time Feedback, Mobile-Assisted Language Learning (MALL), Autonomous Learning, Anxiety Reduction, Mixed Methods, Speaking AssessmentAbstract
The research explores how artificial intelligence powered digital devices affect the speaking proficiency acquisition of foreign language students. Language acquisition becomes more achievable through the implementation of artificial intelligence (AI) since it provides personalized and accessible and interactive speaking practice for students. The study used a mixed research design that measured 60 English as a Foreign Language (EFL) university students who utilized speech recognition applications and chatbots together with voice analysis tools for a 5-week duration. The research used Common European Framework of Reference (CEFR)-based pre- and post-tests to evaluate changes in speaking ability. Learners participated in semi-structured interview sessions for exploring their insights about their learning experiences. Participants achieved statistically important advancement in their overall speaking skill levels mainly through improved pronunciation and fluency results. The tools connected to artificial intelligence provided participants with enhanced confidence levels together with heightened motivational states and student engagement because of their flexible function and quick feedback mechanisms. In addition to their noted strengths the tools displayed some weaknesses through their repetitive nature and occasional inaccuracies in feedback. The research identifies AI digital instruments as valuable supports for conventional speech learning because they promote student autonomy through continuous practice. Further studies should examine both prolonged effects of these tools and ways to enhance their production methods.
