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This review explores AI’s transformative impact on student performance through enhanced e-learning. It traces AI’s evolution in education, emphasizing its role in personalized content delivery, adaptive curriculum design, and data-driven insights, leading to improved comprehension, retention, and engagement. Case studies exemplify AI’s practical applications while addressing concerns like data privacy, accessibility, and evolving educator roles. It anticipates trends like augmented reality and AI-driven virtual assistants in education, highlighting AI’s potential for lifelong learning and professional development. This review paper is a comprehensive resource for understanding AI’s influence on student performance.

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Revolutionizing Education: The Transformative Influence of AI-Enhanced E-learning on Student Performance

  • 会议论文

  • 发表日期：

    2025年

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  • D. Pavithra,
  • S. Padmavathy,
  • M. Umasankar,
  • P. Rokesh Kannan,
  • M. Sneka

摘要

This review explores AI’s transformative impact on student performance through enhanced e-learning. It traces AI’s evolution in education, emphasizing its role in personalized content delivery, adaptive curriculum design, and data-driven insights, leading to improved comprehension, retention, and engagement. Case studies exemplify AI’s practical applications while addressing concerns like data privacy, accessibility, and evolving educator roles. It anticipates trends like augmented reality and AI-driven virtual assistants in education, highlighting AI’s potential for lifelong learning and professional development. This review paper is a comprehensive resource for understanding AI’s influence on student performance.