Una revisión sistemática de estudios sobre IA: Aproximaciones desde la perspectiva del estudiantado
DOI:
https://doi.org/10.31637/epsir-2025-1704Palabras clave:
educación superior, formación, estudiantes, inteligencia artificial, inteligencia artificial generativa, opiniones, revisión sistemática, producción científicaResumen
Introducción: El presente trabajo reporta una revisión sistemática de estudios publicados durante el año 2023 sobre la opinión del estudiantado en torno a la Inteligencia Artificial (IA). Metodología: Se utilizó la declaración de reportes para revisiones sistemáticas y meta-análisis PRISMA 2020. Resultados: A partir de la aplicación de criterios de elegibilidad, fueron seleccionados 34 artículos para su revisión en profundidad. Se identificó una tendencia de estudios exploratorios y exploratorio-descriptivos, con aplicaciones de cuestionarios de escala para medir percepción, conocimiento o actitudes de los estudiantes hacia la IA. Discusión: Es evidente el rápido desarrollo de esta línea de investigación, sobre todo en cuanto a las variables de percepción y conocimiento. La percepción de los estudiantes sobre el uso de IA es positiva, ya que piensan que mejorará su desempeño escolar, aprendizaje y futuro ejercicio profesional, sin embargo, el conocimiento que los estudiantes tienen sobre la IA necesita fortalecerse desde una visión más académica. Conclusiones: Esta línea de investigación muestra avances importantes en muy corto tiempo, sin embargo, la variable de actitudes requiere mayor atención, puesto que tiene el potencial de proporcionar información valiosa sobre posibles barreras y oportunidades para la integración de la IA.
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Derechos de autor 2025 Mónica Leticia López Chacón, Juan Carlos Castellanos Ramírez, Shamaly Alhelí Niño Carrasco, Karla Lariza Parra Encinas
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