Artificial intelligence in mathematics preparation for admission to higher education VIII Taller Internacional “Didáctica de las Ciencias Básicas, Ingeniería y Arquitectura”

Abstract

This article explores the integration of Artificial Intelligence (AI) in the direction of the preparation process of pre-university students with a view to preparing them for entry into higher education. Its implementation can enrich both the mathematical content and the vision of this science for the future profession they expect to pursue. The guiding documents of this process are examined in convergence with the potentialities of AI, highlighting the need to update teaching performance in the face of technological advances. The study analyzes the advantages of AI, such as the personalization of learning, the generation of adaptive exercises and the optimization of class time. However, it also addresses the "shadows and fears" associated with its use, such as superficial learning, ideological biases and the loss of human interaction. The importance of elaborating effective prompts to obtain optimal results from AI is emphasized and specific tools for different tasks are suggested. Methodological suggestions for the effective integration of AI into this process are also offered.