Inteligencia artificial generativa y pensamiento crítico en la educación superior: Implicaciones éticas, académicas y sociales

Authors

DOI:

https://doi.org/10.68503/2j0es841

Keywords:

inteligencia artificial, sesgo algorítmico, funcionamiento diferencial del ítem, psicometría, aprendizaje automático, evaluación educativa

Abstract

La finalidad de la presente investigación fue el estudio de la relación entre el uso de inteligencia artificial generativa y el pensamiento crítico en los estudiantes de educación superior; en este sentido se abordaron los aspectos éticos, académicos y sociales implicados. Fue un estudio de tipo cuantitativo, no experimental, transversal, de tipo descriptivo-correlacional. La muestra estuvo conformada por 185 estudiantes universitarios seleccionados mediante muestreo no probabilístico por conveniencia. Se utilizó para la investigación un cuestionario adecuado y con escala tipo Likert estructurada, de 28 ítems, organizadas en 4 dimensiones: uso académico de IA generativa, pensamiento crítico, percepción ética e implicaciones sociales. Se obtuvo un Alfa de Cronbach para el coeficiente de confiabilidad general del instrumento de 0,88. Entre los resultados se encontró que el 65,4 % de los estudiantes utilizaban IA generativa diariamente o semanalmente a la hora de escribir borradores, buscar información inicial y organizar ideas. Asimismo, se logró motivar una correlación positiva moderada entre el uso académico de IA generativa y el pensamiento crítico (rho = 0,46; p < 0,01); así como entre el pensamiento crítico y la percepción ética (rho = 0,52; p < 0,01). La IA generativa puede fomentar el aprendizaje universitario desde el momento en que se use de una forma reflexiva, ética o pedagógicamente orientada.

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Published

2024-06-13

How to Cite

Bastidas González, K. A., Rosado Martínez, S. A., & Maldonado Aguirre, G. J. (2024). Inteligencia artificial generativa y pensamiento crítico en la educación superior: Implicaciones éticas, académicas y sociales. Revista Multidisciplinaria Perspectiva Científica, 1(1), 1-29. https://doi.org/10.68503/2j0es841

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