THE ASPECTS OF AI-TECHNOLOGIES ON EDUCATION
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Keywords

Artificial Intelligence (AI), Machine Learning, Educational Technology (Ed-Tech), Digital Education, Smart Learning Systems, Personalized Learning, Adaptive Learning Platforms, Intelligent Tutoring Systems, Virtual Learning Assistants, Automated Assessment, Computer-Based Testing, Learning Analytics, Educational Data Mining.

Abstract

The rapid development of Artificial Intelligence (AI) technologies has significantly transformed the educational landscape in recent years. This article examines the key aspects of AI integration in contemporary education, focusing on its role in personalized learning, intelligent tutoring systems, automated assessment, learning analytics, and inclusive education. By analyzing current applications of AI-driven tools, the study highlights how these technologies enhance teaching efficiency, improve student engagement, and support individualized learning pathways. At the same time, the article addresses critical challenges associated with AI adoption, including ethical concerns, data privacy issues, and the risk of over-reliance on automated systems. The findings suggest that while AI has the potential to greatly improve educational quality and accessibility, its effectiveness depends on responsible implementation and the continued central role of educators. The article concludes that AI should be viewed as a supportive instrument that complements human instruction rather than a replacement for it.

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References

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