Actitudes hacia la inteligencia artificial y su relación con la ansiedad digital en estudiantes universitarios de ciencias sociales y educación
DOI:
https://doi.org/10.61347/psa.v4i1.130Palabras clave:
Actitudes, ansiedad digital, competencias digitales, educación superior, inteligencia artificialResumen
La integración de la inteligencia artificial en contextos educativos plantea desafíos relacionados con las actitudes y los niveles de ansiedad digital de los futuros profesionales. El objetivo de este estudio fue analizar la relación entre las actitudes hacia la inteligencia artificial y la ansiedad digital en 235 estudiantes universitarios de las carreras de Educación y Ciencias Sociales, mediante un diseño transversal de enfoque cuantitativo. Se aplicaron las escalas GAAIS, AAIS y AIAS para medir actitudes positivas, actitudes negativas y ansiedad específica hacia la inteligencia artificial. Los resultados revelaron correlaciones negativas estadísticamente significativas entre las actitudes positivas y la ansiedad por reemplazo laboral (r = -0.380, p < .001), así como con la ansiedad por aprendizaje (r = -0.364, p < .001). El análisis de regresión múltiple mostró que las actitudes positivas y negativas explicaron el 44,21 % de la varianza en la ansiedad laboral (R² = 0.442, p < .001). Asimismo, se identificaron diferencias significativas según el sexo, con los hombres mostrando actitudes más positivas hacia la IA (M = 7.23 vs. M = 5.86, p < .001). Las dimensiones cognitiva, afectiva y conductual de las actitudes presentaron correlaciones fuertes y positivas entre sí (r > 0.61). Estos hallazgos sugieren la necesidad de diseñar e implementar programas de formación que fortalezcan las actitudes positivas hacia la inteligencia artificial, con el fin de reducir la ansiedad digital en futuros educadores y profesionales del ámbito social.
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Derechos de autor 2026 José Napoleón Páez Escobar, Alexandra Valeria Villagómez Cabezas, Mery Elizabeth Zabala Machado, Gonzalo Fabián Erazo Brito
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
