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Abstract
This comprehensive article explores the transformative impact of Artificial Intelligence on educational systems, focusing on personalized learning experiences and technological implementations. The article examines the core technologies enabling AI-based personalization, implementation architectures, and key applications in educational settings. It investigates how intelligent tutoring systems and smart content delivery mechanisms address traditional educational challenges while enhancing student engagement and learning outcomes. The article evaluates the effectiveness of AI-driven solutions in accommodating diverse learning paces, bridging knowledge gaps, and maintaining student engagement through adaptive technologies. Additionally, it explores emerging trends and future developments in educational AI, including multimodal learning analysis, emotion recognition integration, and cognitive modeling advancements.
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