Artificial intelligence as a support strategy for mathematics learning among university students in the faculty of sciences [La inteligencia artificial como estrategia de apoyo para el aprendizaje de las matemáticas en estudiantes universitarios de la Facultad de Ciencias]

Jonhson Valderrama Arteaga — 2026-08-28

The main objective of this research was to determine the relationship between Artificial Intelligence (AI) as a pedagogical support strategy and the mathematics learning process in first-cycle students of the Faculty of Sciences at the Santiago Antúnez de Mayolo National University (UNASAM), during the 2025-I academic semester. The study is based on the growing need to adapt teaching methodologies to the digital era. The methodology adopted was an applied type, with a quantitative approach and a correlational level of non-experimental and cross-sectional design. The population and sample were census-based, made up of 104 students. For data collection, two questionnaires structured under the Likert scale were used, which were validated by expert judgment and subjected to reliability tests using Cronbach's Alpha. The results obtained through the Spearman correlation coefficient showed a value of with a significance level of . These findings allow us to conclude that there is a direct, positive and very high intensity relationship between the use of AI and mathematical learning. It was demonstrated that the dimensions of optimization, personalization and motivation enhanced by AI significantly influence the problem-solving capacity, communication and logical-mathematical reasoning of university students.

Journal of Global Education Sciences

Artificial intelligence as a support strategy for mathematics learning among university students in the faculty of sciences [La inteligencia artificial como estrategia de apoyo para el aprendizaje de las matemáticas en estudiantes universitarios de la Facultad de Ciencias]