Artificial Intelligence in Inclusive Education: Applications and Challenges for Learners with Disabilities

Abstract

Artificial Intelligence (AI) is becoming an important technology in education. It can support learners by improving access to educational content, providing personalized learning support, assisting communication, and helping teachers. For learners with disabilities, AI-based assistive technologies can reduce some barriers to learning and participation. This paper provides a descriptive review of the use of AI in inclusive education, with particular attention to learners with disabilities. It discusses common applications such as speech recognition, text-to-speech, computer vision, adaptive learning, intelligent tutoring, and communication support. The paper also considers the main benefits and challenges of these technologies. The literature indicates that AI can improve accessibility, learning support, communication, participation, and learner independence. However, issues related to privacy, cost, accuracy, bias, infrastructure, teacher training, and human interaction remain important. The paper concludes that AI should support learners and teachers rather than replace human involvement. Responsible and learner-centred use of AI can contribute to more accessible and inclusive education.

Introduction

The text examines the role of Artificial Intelligence (AI) in inclusive education for learners with disabilities. It argues that while traditional assistive technologies such as screen readers, text-to-speech, captions, and alternative communication systems have improved accessibility, AI can provide more personalized, adaptive, and interactive support.

Key points

• Purpose: The paper reviews how AI can reduce educational barriers for students with disabilities and improve their access, participation, communication, and independence.
• Review approach: It uses a descriptive literature review, focusing on research related to AI, assistive technology, special education, and inclusive learning.

Major AI applications

• Speech recognition: Converts speech to text and supports learners who have difficulty writing or communicating.
• Text-to-speech: Converts written content into audio, benefiting learners with visual or reading difficulties.
• Computer vision: Helps interpret images, objects, gestures, and other visual information.
• Adaptive learning: Adjusts educational content and difficulty according to individual learner performance.
• Intelligent tutoring: Provides explanations, practice, feedback, and individualized learning assistance.
• Communication systems: Support interaction through speech, text, symbols, and other communication methods.

Benefits

AI can improve accessibility and personalization by presenting information in formats suited to individual needs. It can also improve communication, learner engagement, and independence. Teachers may benefit from AI-assisted preparation of accessible materials and learning recommendations, although AI is intended to support rather than replace teachers.

Challenges

Several barriers must be addressed:

• Privacy: AI systems may collect sensitive learner information.
• Cost and infrastructure: Devices, internet access, software, and technical support may be expensive or unavailable.
• Accuracy: AI can misunderstand speech or incorrectly interpret visual information.
• Bias: Systems may perform poorly for underrepresented disabilities, languages, cultures, or learner groups.
• Teacher readiness: Educators require training to use AI effectively and understand its limitations.
• Human interaction: AI cannot replace teachers' emotional support, encouragement, judgement, and understanding of individual learners.

Conclusion

Artificial Intelligence has the potential to support more inclusive education for learners with disabilities. Speech recognition, text-to-speech, computer vision, adaptive learning, intelligent tutoring, and communication technologies can help reduce barriers to learning. The major potential benefits include improved accessibility, personalized learning, better communication, greater participation, and increased independence. At the same time, privacy, cost, infrastructure, accuracy, bias, teacher training, and human interaction remain important concerns. AI should therefore be introduced carefully and responsibly. It should support teachers and learners rather than replace human involvement. The success of AI in inclusive education should ultimately be judged by whether it makes learning more accessible, meaningful, and useful for learners with disabilities. With appropriate design, learner participation, teacher involvement, and responsible implementation, AI can become a valuable tool for creating more inclusive educational environments.

References

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Copyright

Copyright © 2026 Subharun Pal, Dr. Parul Chhabra. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.