Clasificación automática de estilos de materiales de aprendizaje
DOI:
https://doi.org/10.5753/rbie.2023.3431Keywords:
Estilos de lecciones en vídeo, Estilos de materiales de aprendizaje, Diseñador de Medios Instruccionales, Clasificación automáticaAbstract
Aunque las lecciones en vídeo se utilizan a menudo en diversas áreas, la falta de un enfoque común para definir y clasificar sus estilos da como resultado el uso de muchos modelos diferentes para estos propósitos. Es necesario construir un marco a través del cual estos estilos puedan definirse y clasificarse. Se ha hecho mucho para investigar los efectos de estos estilos en la participación de los estudiantes y los resultados del aprendizaje. Estos estudios sugieren que los estilos de lecciones en video afectan el rendimiento académico y que los estudiantes aprenden mejor a través de un determinado estilo de lección en video. Con base en esto, proponemos un modelo unificado para clasificar estilos de lecciones en video según las nomenclaturas y definiciones utilizadas en la literatura.
Además, presentamos un método para clasificar automáticamente cuatro estilos populares de lecciones en vídeo. La clasificación automática es útil para que los sistemas de recomendación sugieran materiales más consistentes con las preferencias de los estudiantes y los resultados de aprendizaje previstos.
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Derechos de autor 2023 Bernadete Aquino, Jairo Francisco de Souza, Eduardo Barrére
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
