METHODS FOR DEVELOPING LEARNERS' PRONUNCIATION SKILLS THROUGH THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Abstract
Advances in artificial intelligence (AI) have significantly reshaped contemporary language pedagogy, particularly in the domain of oral communication. Among the core components of speaking proficiency, pronunciation remains one of the most challenging skills to develop due to its inherently individualised, practice-intensive, and feedback-dependent nature. Traditional classroom methods often struggle to provide learners with the consistent, precise, and personalised feedback necessary for mastery. This study explores pedagogically sound and technologically supported methods for enhancing pronunciation skills through AI-driven tools, including automatic speech recognition, machine-learning-based accent analysis, adaptive tutoring, and gamified practice.