Resumen

JUAREZ-SANTIAGO, Brenda; LAZARO-GUILLERMO, Juan Carlos; ESPARZA, Manuel de Jesús Azpilcueta-Ruiz  y  AVELLANEDA-CALLIRGOS, Lolo. Didactic activities with artificial intelligence to promote the learning of Statistics in university students. Koinonía [online]. 2026, vol.11, n.21, pp.166-189.  Epub 10-Jun-2026. ISSN 2542-3088.  https://doi.org/10.35381/r.k.v11i21.4986.

Low motivation, the perception of difficulty, and math anxiety remain ongoing challenges in higher education related to the teaching of Statistics. In this sense, the research aimed to analyze the role of didactic activities based on Artificial Intelligence as concrete pedagogical strategies that contribute to promoting the learning of Statistics in higher education students. Through a review of recent literature on these topics, modern educational strategies were identified which, when linked to virtual environments, particularly Artificial Intelligence, and to business realities, have contributed to improving motivation levels, academic performance, and student confidence toward learning Statistics. Specifically, Artificial Intelligence, provided it is used in accordance with ethical and humanistic principles, functions as a pedagogical resource that helps personalize learning and optimize teaching practice.

Palabras clave : Student learning; pedagogical didactics; higher education; Statistics; artificial intelligence..

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