THE IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN TEACHING MATHEMATICS
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Abstract
The rapid advancement of digital technologies has significantly transformed contemporary educational systems, particularly in the field of mathematics education. Artificial intelligence has emerged as one of the most influential tools capable of enhancing instructional effectiveness, personalizing learning processes, and improving academic outcomes. This study examines the pedagogical importance of artificial intelligence in teaching mathematics, with a focus on its role in adaptive learning, intelligent tutoring systems, and data-driven instructional decision-making. The research is based on a systematic methodological framework that integrates quantitative and qualitative approaches to analyze the impact of AI-supported instructional environments on students’ mathematical achievement, conceptual understanding, and learning engagement. The findings indicate that artificial intelligence facilitates individualized learning trajectories, provides immediate feedback, and supports continuous diagnostic assessment, thereby reducing learning gaps and strengthening problem-solving skills. The study concludes that artificial intelligence represents a strategic educational resource for improving the quality and sustainability of mathematics teaching in the digital era and provides a theoretical foundation for future empirical research in intelligent educational systems.
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