PERSONALIZED AND ADAPTIVE LEARNING THROUGH ARTIFICIAL INTELLIGENCE

Abstract

Artificial Intelligence (AI) is transforming education by enabling adaptive, personalized, and data-driven learning through intelligent tutoring, predictive analytics, and AI-powered feedback, improving efficiency and engagement across diverse learning environments. The objective is to explore the effective use of AI in promoting personalized and Adaptive learning. AI tools enhance learning outcomes via proactive (e.g., curriculum design) and reactive (e.g., real-time tutoring, automated grading) engagement, with adaptive learning platforms and AI-based assessments driving personalization and reducing administrative burdens. Challenges include data privacy risks, algorithmic bias, digital literacy gaps, and inequitable access. AI offers significant potential to create personalized, inclusive, and efficient education systems. Addressing ethical, privacy, and accessibility concerns is essential for sustainable adoption, with future work focusing on transparency, equity, and responsible implementation.