Virtual Reality in Sign Language Education: Opportunities, Challenges, and the Road Ahead
Santiago Berrezueta-Guzman, Refia Daya, Stefan Wagner

TL;DR
This paper systematically reviews VR-based sign language education, highlighting technological advances, pedagogical innovations, and challenges, and proposes future directions for inclusive, effective, and accessible learning systems.
Contribution
It provides a comprehensive synthesis of recent VR and AI innovations in sign language education, identifying key challenges and offering actionable recommendations for future development.
Findings
AI-driven gesture recognition improves learner engagement
VR environments enhance interactive sign language practice
Current challenges include hardware limitations and recognition accuracy
Abstract
Sign language (SL) is an essential mode of communication for Deaf and Hard-of-Hearing (DHH) individuals. Its education remains limited by the lack of qualified instructors, insufficient early exposure, and the inadequacy of traditional teaching methods. Recent advances in Virtual Reality (VR) and Artificial Intelligence (AI) offer promising new approaches to enhance sign language learning through immersive, interactive, and feedback-rich environments. This paper presents a systematic review of 55 peer-reviewed studies on VR-based sign language education, identifying and analyzing five core thematic areas: (1) gesture recognition and real-time feedback mechanisms; (2) interactive VR environments for communicative practice; (3) gamification for immersive and motivating learning experiences; (4) personalized and adaptive learning systems; and (5) accessibility and inclusivity for diverse…
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