Bridging Gaps: AI-Driven Accessibility in Language Education

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Andi Asrifan, Shafa Shafa, Widya Rizky Pratiwi, Arsad Bahri, Sri Rahmadhani Siregar, Sajed S. Ingilan

2025 Implementing AI Tools for Language Teaching and Learning Book chapter Cited by 3 Quartile

Abstract

Language education accessibility, especially for visually and hearing-impaired pupils, depends on AI. Advanced automated language teaching systems for the disabled are limited despite broad language technology developments. Manual input makes present solutions challenging for limb-impaired people and increases remote help. AI, especially NLP, offers unique solutions for diverse demands and talents, ensuring language learning equality. AI frameworks rarely consider visually impaired users. The chap ter suggests using AI and NLP to personalize language learning. These technologies can give audio descriptions, text-to-speech, and interactive platforms for inclusive learning that maximizes student potential. AI-driven solutions can empower handicapped learners and improve their communication, independence, and social integration by including beneficiaries, instructors, and families and cooper ating across stakeholders. © 2025 by IGI Global Scientific Publishing. All rights reserved.

Affiliations

Universitas Negeri Makassar, Indonesia; UIN Sultan Aji Muhammad Idris Samarinda, Indonesia; Universitas Terbuka, Indonesia; Universitas Negeri Makassar, Indonesia; UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan, Indonesia; University of Southeastern Philippines, Philippines