| Abstract: |
This paper examines AI-powered educational systems and their influence on personalized learning and student involvement. The rapid integration of artificial intelligence in educational environments has created transformative possibilities for tailoring instruction to individual learner profiles. The primary objective is to analyze how AI-driven tools including intelligent tutoring systems and adaptive learning platforms affect student engagement and personalized learning outcomes across higher and secondary education. Employing a descriptive-analytical research design, this study synthesizes secondary data from peer-reviewed literature published between 2016 and 2024. The hypothesis posits that AI-powered systems significantly enhance student engagement and personalized learning outcomes compared to conventional pedagogical approaches. Results indicate that students in AI-enhanced environments demonstrate up to 54% higher test scores, 30% improved learning outcomes, and 75% higher motivation levels than peers in traditional classrooms. Discussion confirms that adaptive feedback loops, real-time analytics, and individualized content delivery are the primary mechanisms through which AI drives learner engagement. The paper concludes that AI, when ethically and strategically implemented, holds strong potential to democratize quality education globally, including within India's vast and diverse educational ecosystem. |
