IMPACT OF ARTIFICIAL INTELLIGENCE ON THE EDUCATIONAL LANDSCAPE: A SYSTEMATIC REVIEW OF EMERGING TRENDS AND PEDAGOGICAL TRANSFORMATIONS

Artificial Intelligence (AI) is transforming the international education scenario by revolutionizing teaching methodologies, evaluation mechanisms, administrative tasks, and learning experiences. The fast-paced development of machine learning, natural language processing, generative AI, and learning analytics has created both unparalleled opportunities and challenges. This systematic review combines the results of 40 key studies published between 2015 and 2025 to assess the effect of AI on teaching practices, learning outcomes, personalization, the role of teachers, institutional administration, and equity. A systematic search process was conducted on Scopus, Web of Science, and Google Scholar to identify peer-reviewed empirical and conceptual studies for thematic analysis. The findings show that AI improves personalization, adaptive evaluation, predictive analysis, and administrative tasks. Nevertheless, issues related to bias in algorithms, data protection, academic dishonesty, and teacher replacement continue to exist. The systematic review concludes that AI should be used as an augmentative device and not as a substitute for human teachers. Future studies should focus on long-term impact assessments, ethics, and equity.