ENHANCING NON-ENGLISH MAJOR STUDENTS’ SPEAKING SKILLS: THE ROLE OF AI TOOLS IN SELF-LEARNING AT A UNIVERSITY IN HANOI

Abstract

This study investigated the application of artificial intelligence tools in enhancing the speaking skills of non-English major students at a university in Hanoi - Hanoi University of Civil Engineering. The study employed a mixed-methods approach, including experiments, surveys, and interviews to evaluate the impact of AI tools such as speech recognition and feedback systems. Data were collected from 120 students who used AI-based tools for self-learning over a three-month period. The results showed that students using AI tools demonstrated significant improvements in pronunciation accuracy, fluency, and learner confidence with an average increase of 20% in the oral proficiency test scores. Moreover, students reported enhanced motivation and confidence in speaking English. The findings suggested that AI tools played a crucial role in overcoming language barriers and facilitating autonomous learning. This study contributed to the understanding of integrating AI in language education and highlighted the potential for further applications in other skill areas.