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MODERN METHODS, ADVANTAGES, AND LIMITATIONS OF TEACHING USING ARTIFICIAL INTELLIGENCE

Abstract

This article analyzes modern methods of teaching based on artificial intelligence, as well as their advantages and existing limitations. It highlights aspects such as personalization of education through AI, increasing motivation, real-time feedback, inclusivity, and overall effectiveness. At the same time, issues related to privacy, algorithmic errors, the reduction of the human factor, technical and economic challenges, and academic integrity are also discussed. The article substantiates the need for a balanced and strategic approach to implementing artificial intelligence in education.

Keywords

artificial intelligence, education, personalization, motivation, real-time feedback, inclusive education, algorithmic bias, academic integrity, digital literacy

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References

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