Application of Machine Learning Algorithms in the Methodology of Mathematics Teaching

Abstract

In the shifting educational paradigm, incorporating Artificial Intelligence (AI) in general, and Machine Learning (ML) in particular, into teaching has truly become a trend of transformation. Mathematics, as a core subject based on logical reasoning and analytical thought, has ample opportunities for ML-infused teaching techniques. This article reviews methods of embedding machine-learning algorithms into mathematics instruction. The analysis covers adaptive learning systems, predictive analytics, and intelligent tutoring systems, paying attention to the theoretical, methodological, and ethical levels. The article concludes by reiterating the importance of a data-driven model of teaching in current mathematics education and outlines the possible future directions for research.