Developing an ai-based personalized learning system for students with interrupted education in Sudan

Abstract

This study examines the revolutionary capacity of Artificial Intelligence (AI) in tackling the significant challenge of Sudan is a country that has been greatly affected by war and displacement, which has led to students missing school. There are millions of Many kids and teens have had their schooling interrupted, which has caused big gaps in their learning and a huge demand for adaptable, easy-to-reach, and tailored educational options. This study presents an AI driven framework. developed to build personalized learning paths that are based on each student’s needs, what they already know, and how they learn speed. The method uses AI parts like learner profiling, adaptive content delivery, and smart tutoring solutions that work with new technologies that are specific to the situation, such mobile-first interfaces and local dialects assistance, the ability to work offline first, and content that has been checked by the community. A possible deployment scenario in a The Sudanese refugee camp exemplifies the practical implementation and prospective results. The work examines the anticipated benefits, such as more engagement and better learning outcomes, while also looking at them critically restrictions, dangers, and moral issues such data privacy, algorithmic prejudice, and fair access. This paper aims to give a strong conceptual base for creating AI-powered educational tools that can be used by many people and have a big effect. initiatives, providing a means to reinstate educational continuity and empower a generation of learners in crisis-regions that were affected.