Software basado en inteligencia artificial generativa para la enseñanza-aprendizaje de matemáticas: una revisión de literatura
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https://doi.org/10.70881/mcj/v4/n1/132Palabras clave:
Inteligencia artificial generativa, educación matemática, tecnología educativa, métodos de enseñanza, procesos de aprendizajeResumen
La inteligencia artificial generativa (IAGen) ha emergido como una tecnología con alto potencial para transformar el proceso de enseñanza-aprendizaje de matemáticas, al posibilitar experiencias educativas más personalizadas e interactivas. Para organizar todas esas potencialidades, este artículo presenta una revisión de literatura sobre software educativo basado en IAGen aplicado a la educación matemática, considerando distintos niveles educativos y contextos de uso. A partir del análisis de artículos científicos, se identificaron y caracterizaron los principales tipos de software, incluyendo tutores inteligentes, agentes enseñables, generadores de contenidos y herramientas de retroalimentación y andamiaje. Asimismo, se sintetizó la evidencia sobre los beneficios reportados en términos de resultados de aprendizaje, compromiso estudiantil y apoyo a la labor docente, junto con los desafíos persistentes relacionados con la precisión matemática, la dependencia tecnológica, la equidad y las implicaciones éticas. El artículo también discute principios de diseño e implicaciones pedagógicas, destacando la importancia de la supervisión humana, el uso estructurado de la IAGen y la formación docente en alfabetización en inteligencia artificial. Finalmente, se identificaron brechas de investigación proponiendo líneas futuras orientadas a optimizar el diseño, la implementación y la evaluación de software basado en IAGen para la educación matemática
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Derechos de autor 2026 Sonia Tatiana Cruz Laz, Orlando Ramiro Erazo Moreta, Valeria Dayanna Torres Lindao, Geovanny José Brito Casanova (Autor/a)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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