Inteligencia artificial generativa texto a imagen en educación preuniversitaria: objetivos y competencias. Revisión sistemática
DOI:
https://doi.org/10.32870/dse.v0i34.1705Resumen
Diversas instituciones internacionales resaltan la necesidad de educar en el uso de la inteligencia artificial generativa (IAGen) antes del ingreso al mercado laboral. Sin embargo, la literatura advierte sobre la posible pérdida de capacidades cognitivas, lo que enfatiza la importancia de regular su uso mediante objetivos didácticos adecuados. Para analizar los objetivos y competencias asociadas a su implementación, se realizó una Revisión Sistemática de la Literatura siguiendo el Protocolo PRISMA 2020. Se identificaron 551 artículos, de los cuales 16 fueron seleccionados para un análisis detallado. Los objetivos encontrados se clasificaron en tres categorías: éticos, técnicos y creativos, predominando aquellos enfocados en fomentar el pensamiento crítico. En cuanto a competencias, algunas pueden verse limitadas mientras que otras se potencian. Se concluye que el enfoque adoptado en el uso de IAGen de texto a imagen influirá en la promoción o restricción de ciertas habilidades estudiantiles. Aunque se recomienda su enseñanza antes de la inserción laboral, es necesario profundizar en la investigación sobre los objetivos de aprendizaje y su impacto en la adquisición o disminución de competencias. En especial, la creatividad es un concepto en desarrollo que requiere mayor estudio para comprender su relación con la IAGen.
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
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