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ARTIFICIAL INTELLIGENCE IN EDUCATION: OPPORTUNITIES, CHALLENGES, AND IMPLICATIONS

Artificial intelligence, education, educational technology, adaptive learning, educational policy, data privacy, pedagogical innovation, personalized learning.

Authors

This article provides a comprehensive critical analysis of the integration of Artificial Intelligence (AI) in educational contexts,
emphasizing its transformative impact on human learning activity. The study examines key applications of AI in education,
including adaptive learning systems, intelligent tutoring, content generation, administrative automation, and accessibility
enhancement. Through empirical evidence and recent case studies from various educational institutions, the article identifies both
the benefits and the limitations of AI in teaching and learning. It highlights how AI fosters personalized learning, efficiency, and
inclusivity while simultaneously raising concerns related to data privacy, algorithmic bias, reduced human interaction, and
equity.