ENHANCING TRADITIONAL EDUCATION THROUGH ARTIFICIAL INTELLIGENCE: ADDRESSING PEDAGOGICAL LIMITATIONS IN THE DIGITAL ERA
Том 5 № 19 (2026): Наука и технологии в современном мире 49-51
Аннотация
The rapid advancement of digital technologies has significantly transformed educational practices worldwide. Traditional education systems, while foundational to academic development, often face limitations related to personalization, student engagement, assessment efficiency, and accessibility. Artificial Intelligence (AI) has emerged as a transformative force capable of addressing many of these pedagogical challenges. This article examines the role of AI in enhancing traditional educational environments by providing adaptive learning experiences, intelligent tutoring systems, automated assessment mechanisms, and data-driven instructional support. The study explores how AI technologies contribute to individualized learning pathways, increased student motivation, and improved educational outcomes. Furthermore, it discusses ethical concerns associated with AI implementation, including data privacy, algorithmic bias, and the potential overreliance on technology. Through an analysis of recent scholarly literature, the article argues that AI should serve as a complementary tool rather than a replacement for educators. Ultimately, the successful integration of AI into traditional education requires a balanced approach that preserves human-centered learning while leveraging technological innovation to improve educational effectiveness.
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Библиографические ссылки
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Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39).
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