La adicción a la Inteligencia Artificial: Evaluación de prevalencia y factores de riesgo en estudiantes de posgrado
La adicción a la Inteligencia Artificial: Evaluación de prevalencia y factores de riesgo en estudiantes de posgrado
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La adicción a la inteligencia artificial (IA) es un problema emergente que afecta a estudiantes universitarios. Este estudio evaluó la prevalencia y los factores de riesgo asociados a la adicción a la IA en estudiantes de posgrado de tres universidades latinoamericanas. Se utilizó una metodología mixta con una muestra de 634 estudiantes de posgrado. Se aplicaron escalas validadas y se realizaron análisis estadísticos y temáticos. La prevalencia de adicción a la IA fue del 15.8%. Se encontraron diferencias significativas según el área de estudio, género y edad. Los factores de riesgo incluyeron el tiempo dedicado a la IA y los rasgos de personalidad. Los hallazgos son consistentes con estudios previos sobre adicción a la tecnología y resaltan la importancia de abordar la adicción a la IA en estudiantes de posgrado. Se discuten las implicaciones para la prevención y el tratamiento, así como las fortalezas y limitaciones del estudio.
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