This paper presents the relevance of artificial intelligence in mathematics education through the use of an Intelligent Support System developed in Wolfram Mathematica. The system enables the creation of an unlimited number of customized items necessary for training students passionate about mathematics. By combining neuroscience research with artificial intelligence, personalized, deeper, and faster learning of mathematics can be achieved, enhancing each student’s potential. The system supports mathematics training through three practical components: diagnosing learning characteristics and current levels, structuring educational materials and creating adaptive study methods, and designing adaptive algorithms for optimal learning environment personalization. Research was conducted on 200 middle school students, divided into control and experimental groups. Results showed significant improvement in the experimental group, demonstrating the system’s effectiveness. Feedback from students and teachers highlighted the system’s ability to make mathematics learning more engaging and efficient.
