MIND, MACHINE, AND MATHEMATICS: ARTIFICIAL INTELLIGENCE, ANXIETY, AND RESILIENT LEARNING

Abstract

Mathematics is essential for learning and progress; it is crucial to education and innovation, yet many learners experience or feel intense worry and stress when dealing with it. This type of fear is referred to as mathematics anxiety, which disrupts focus, memory, and effective problem-solving abilities. This condition often overlaps with overall academic pressure, and it can also exacerbate performance issues. The growing role of artificial intelligence (AI) in education opens new opportunities to support students both mentally and emotionally. This chapter explores the psychological roots of math anxiety, its link with academic stress, and suggests how AI intervention can encourage stronger, more adaptable learning. On the basis of recent insights from educational psychology, cognitive neuroscience, and AI-powered learning settings, it outlines a combined framework that views AI as a sensitive, adaptive, supportive system during difficult tasks. It highlights methods that connect emotional control and academic progress, emphasizing AI’s ability to reframe the math experience into opportunities for development rather than sources of fear or anxiety.