Integración de la Inteligencia Artificial en la Enseñanza de las Matemáticas: Impacto en la Comprensión Conceptual y la Motivación del Estudiante.

The article discusses the impact of integrating Artificial Intelligence (AI) into mathematics education, including its influence on conceptual understanding, student motivation, higher-order thinking problem-solving skills, and systemic change in the educational sector. A quantitative methodology was employed, using a quasi-experimental, pretest-posttest design with control and experimental groups consisting of secondary school students over an eight-week instructional period. The experimental group engaged with AI-based educational tools (tutorial chatbots, dynamic visualizers, and adaptive learning environments), while the control group was taught using traditional methods. Statistically significant improvements were observed in conceptual understanding and motivation within the experimental group compared to the control. Additionally, supporting qualitative analyses revealed that AI, as a mediating agent in the learning process, was perceived more positively and led to a greater willingness to engage with complex mathematical problems. The initial hypothesis of the study was confirmed, reinforcing the potential of AI as a transformative pedagogical tool. This research provides empirical evidence of AI’s effectiveness in educational contexts, advocating for its role in personalized learning, fostering student autonomy, and fundamentally reshaping mathematics instruction. Finally, the paper calls for future studies aimed at strengthening the pedagogical, ethical, and curricular integration of these emerging technologies across different levels of education.