Supporting Quantitative Learning with AI: The Case of the NumTutor Platform for Numerical Methods

This paper presents the development of NumTutor, an educational web platform aimed at teaching Numerical Calculation. The application integrates three main components: (i) the interactive implementation of classical numerical methods (such as bisection, Newton, and secant), accompanied by dynamic visualizations that allow the student to observe the convergence process step by step; (ii) explanatory and didactic content to theoretically support each algorithm; and (iii) a chatbot that serves as a virtual tutor, answering concept questions in natural language. The platform proves to be a promising tool to complement classes, enhancing autonomous learning in Numerical Calculation.