Abstract
The integration of Artificial Intelligence (AI) into modern education has the potential to revolutionize teaching and learning processes, offering personalized and adaptive learning experiences that were previously unattainable. This review paper explores the multifaceted roles that AI plays in contemporary educational settings, examining its applications in intelligent tutoring systems, adaptive learning platforms, and automated administrative tasks. It also discusses AI's impact on student engagement and achievement, highlighting both the opportunities and challenges associated with its implementation. The paper further investigates the ethical considerations and potential biases inherent in AI systems, emphasizing the importance of equitable access and the need for robust data privacy measures. Through a comprehensive analysis of current research and case studies, this review provides a critical overview of how AI technologies are shaping the future of education, offering insights into their effectiveness, limitations, and future directions for research and development.
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