DEVELOPING AI-POWERED ADAPTIVE LEARNING SYSTEMS FOR IMPROVING EDUCATIONAL OUTCOMES IN UNDERSERVED COMMUNITIES

ABSTRACT : Underlying social inequalities between populations persist throughout the global educational landscape and target underprivileged communities because of poor educational facilities and scarcity of qualified teaching staff and economic limitations. The standard educational systems do not properly meet the wide range of learning requirements that exist among students in these environments. The research will develop AI-powered adaptive learning systems to personalize teaching practice while improving educational results while resolving existing educational disparities. This research examines how artificial intelligence systems can transform educational results by becoming integrated into educational programs. The analysis guiding this research includes examination of both the policy effects and equity factors alongside testing for accessibility barriers and sustainability requirements during AI deployment in educational systems. The research executes a combination of qualitative and quantitative methods to deliver useful recommendations for educational leaders and technological experts supporting fair education advancement