USING AI TECHNOLOGY IN REDUCING EDUCATIONAL INEQUALITY IN RURAL AREAS

Abstract

Educational disparity continues to be a significant obstacle [1], particularly in rural areas, where access to quality education is hampered by insufficient infrastructure, limited resources, and teacher shortages. Artificial Intelligence (AI) and contemporary technology present innovative solutions to close this gap by offering scalable, cost-effective, and tailored learning experiences. The main goal of this study is to explore how AI and technology can alleviate educational inequality in rural areas by enhancing educational access, improving learning quality, and addressing infrastructure issues. The study's methodology employs a mixed-methods approach, encompassing[2] needs assessment, literature review, the selection of suitable AI-based educational tools, and ongoing monitoring for enhancement. Quantitative data is evaluated using metrics such as student performance, attendance, and teacher feedback, while qualitative data is gathered through discussions with educators, students, and parents, along with case studies from both well-performing and under-resourced schools. The results indicate that incorporating AI and technology improves student learning outcomes, broadens access to educational materials, boosts enrollment figures, and enhances teacher performance[3]. The research concludes that AI and technology can greatly help reduce educational disparities in rural areas; however, their success depends on effective implementation, adequate digital infrastructure, and ongoing sustainability[ 4]. It is advised that bridging educational gaps via AI requires enhanced digital infrastructure, the creation of AI tools suited for offline and low-bandwidth settings, and greater community and parent engagement in the education process [5 ].

Keywords: AI in education, AI-powered personalized learning, educational inequality, rural education, equitable education.