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This comprehensive study examines the role of Artificial Intelligence (AI) in modem education, focusing on its advantages, challenges, and strategies for effective implementation. Through a multi-faceted methodological approach including literature review, case studies, expert interviews, and data analysis, the research reveals significant benefits of AI in personalized learning, intelligent tutoring, automated grading, and predictive analytics. However, it also highlights critical challenges such as the digital divide, data privacy concerns, educator preparedness, and ethical considerations. The study presents practical implementations of AI in both higher education and K-12 settings, demonstrating improvements in student performance, engagement, and administrative efficiency. Global comparisons of AI adoption in education are also provided. The article concludes with recommendations for addressing challenges and leveraging AI's potential to create more effective, equitable, and personalized learning experiences. This research offers valuable insights for policymakers, educators, and technologists seeking to navigate the complex landscape of AI integration in education.
Ye. M. Zhunussov (Thu,) studied this question.