INTEGRATING EXTENDED REALITY (XR) TECHNOLOGIES IN THE ANALYSIS OF ARABIC SOUNDS AND THE TEACHING OF ARTICULATION POINTS: A CONTEMPORARY DIGITAL APPROACH

Abstract

The instruction of Arabic sounds and their points of articulation presents significant challenges, particularly for non-native speakers, due to the language's phonetic and articulatory complexities. Traditional methods often lack the necessary interactivity and visual feedback required for mastery. This article presents a contemporary digital framework that integrates Extended Reality (XR) technologies—including Virtual Reality (VR) and Augmented Reality (AR)—with Artificial Intelligence (AI) to create an immersive and interactive learning environment. The research reviews current literature on the use of XR in language learning, Computer-Assisted Pronunciation Training (CAPT), and speech analysis technologies. Building on this theoretical foundation, we propose an applied system that combines 3D visualizations of the speech apparatus, real-time tongue motion tracking, and AI-driven pronunciation analysis to deliver immediate, personalized feedback. The proposed model incorporates gamification elements and Self-Regulated Learning (SRL) strategies to enhance learner engagement and motivation. The paper discusses anticipated analytical results, highlighting the approach's potential to significantly improve pronunciation accuracy, deepen phonetic understanding, and provide a scalable and effective pedagogical tool. In conclusion, the research underscores the transformative potential of integrating XR and AI in applied phonetics, paving the way for future innovations in language education and speech therapy.