Article Title :
An Explorative Study on AI-driven Tools for Equitable, Accessible, and Quality Education of Visually-Impaired Students in the Inclusive School

Author Name :
Ajay Kumar Gupta

Keyword :
Visually impaired students, Inclusive education, AI-driven Tools, Access, Equity

Publisher :
Politic India Publication

Download URL :

Abstract :
The 21st century has become the era of Artificial Intelligence (AI). The fast-growing trend of AI is influencing every aspect of human life. The emergence of AI in educational technology has the potential to bridge equity gaps in inclusive classrooms. This paper explores the transformative impact of AI-driven tools on the access, equity, and quality of education for visually impaired students in inclusive schools. The objectives of the research study were to review research literature regarding present difficulties faced by visually impaired students in inclusive classrooms; to explore and analyze the role of various AI-driven tools for equitable, accessible, and quality education; and to analyze the limitations, challenges, and ethical issues of using these tools. An explorative research methodology was used to gain insight into the research problem and identify solutions. Existing literature and case studies on accessibility challenges, the learning processes involving AI-driven tools, and the associated ethical concerns have been reviewed thoroughly. The systematic review revealed that visually impaired students face significant accessibility difficulties regarding learning materials, and few schools have access to assistive devices such as screen readers and braille display monitors. Inadequate teacher training, social isolation, and traditional classroom layouts were identified as major hurdles to inclusive and equitable education. Furthermore, the researcher analyzed the role of various AI-driven tools—such as Braille Translation Software, Natural Language Processing (NLP) tools for personalized learning, AI-Powered Glasses, AI Voices, Be My Eyes, and ChatGPT—in enhancing learning experiences and mitigating navigation and learning challenges. However, these AI-driven tools require a high-quality data supply for continuous training and improvement. Additionally, high costs and insufficient training for both teachers and students currently hinder the rapid implementation of these technologies. While data privacy and ethical issues remain significant, they can be minimized by applying proper precautions during use.