Year: 2025
Type: article
Abstract: Rural education in low-bandwidth regions faces significant barriers including poor connectivity, lack of qualified teachers, and inadequate infrastructure. This paper proposes an AI-driven microlearning platform tailored for offline environments using low-cost edge devices. By leveraging a Raspberry Pi, open-source language models, and multilingual content, we offer a localized, scalable solution for remote learning. Our pilot implementation across three government schools in rural Karnataka showed a 38% improvement in student comprehension and retention. The findings support AI- powered microlearning as a transformative tool for inclusive, accessible education in underserved communities. Keywords—Microlearning, AI in Education, Edge Computing, Rural Development, Low-Bandwidth Learning, Offline Learning Systems
DOI: 10.55041/ijsrem51799
Authors: Raksha H B, Dr. Sharath M N
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4413130054