Apoyo de las tecnologías de IA en el aprendizaje, la enseñanza, y la evaluación en los contextos de la educación
Resumen
El objetivo principal de la investigación es comprender cómo las tecnologías de inteligencia artificial apoyan estos ámbitos educativos y promover la discusión entre investigadores sobre los futuros desarrollos en la IA en educación. La metodología empleada sigue las directrices de la Declaración PRISMA, involucrando tres fases críticas: selección de artículos, inclusión y análisis. Se realizó una búsqueda exhaustiva utilizando operadores booleanos, lo que resultó en un conjunto seleccionado de artículos que luego fueron analizados para obtener información sobre las aplicaciones educativas de la IA. Los hallazgos revelaron que la IA mejora significativamente las experiencias de aprendizaje personalizado adaptando las tareas a las necesidades individuales mediante tecnologías avanzadas como la realidad aumentada y los sistemas de gestión inteligente. En la enseñanza, los sistemas de tutoría impulsados por IA ayudan a refinar las estrategias de enseñanza y la entrega de contenido basada en datos en tiempo real. Además, las aplicaciones de IA en la evaluación han demostrado ser eficaces en la automatización de la calificación y la predicción del rendimiento estudiantil, especialmente en entornos de aprendizaje en línea.
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Derechos de autor 2024 Frella Lorena Carguacundo Ávila, Katty Neira García Vélez, Bolívar Ramón Chávez Guerrero, Lidia Gloria Barrera Agurto , Aida Marlene Suin Guaraca , Lourdes Janeth Libicota González
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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