Redes de aprendizaje personalizadas en contextos universitarios de aprendizaje semipresencial
Personalised learning networks in the university blended learning context
Palabras clave
Perspectiva ecológica, red de aprendizaje personalizada, interrelación, dimensión cognitiva, dimensión social, dimensión material, experiencia de aprendizaje semipresencial, estudiantes universitarios
Resumen
En la Educación Superior, pocos estudios han investigado simultáneamente las dimensiones cognitivas, sociales y materiales de una misma población. Desde una perspectiva ecológica del aprendizaje, este estudio examina la interrelación entre elementos clave a partir de estas dimensiones en las redes personalizadas de 365 estudiantes. Los datos procedentes de cuestionarios, análisis de aprendizaje y calificaciones del curso permiten considerar estos aspectos en la experiencia de aprendizaje y en el rendimiento académico. Los participantes registraron niveles cualitativamente dispares en el nivel de implicación en el curso, oscilando de un enfoque orientado a la comprensión a enfoques basados en la reproducción de contenidos, lo que, junto a sus opciones de colaboración, generó cinco patrones distintos. Los resultados revelaron que una orientación más comprensiva y una cooperación con estudiantes de orientaciones similares tiende a asociarse con mejores rendimientos en el aprendizaje semipresencial. Sus redes personalizadas se caracterizaron por enfoques más profundos hacia el aprendizaje presencial y virtual; percepciones positivas hacia la integración de ambos contextos; el diseño del curso, por la forma y modo de colaboración; y por una mayor implicación en las actividades en línea. El estudio tuvo implicaciones significativas de aplicación en el desarrollo teórico de la investigación en la ecología del aprendizaje, así como en la forma de guiar el diseño del currículum, la práctica docente y el aprendizaje.
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Ficha técnica
Recibido: 30-05-2019
Revisado: 14-07-2019
Aceptado: 01-08-2019
Preprint: 15-11-2019
Fecha publicación: 01-01-2020
Tiempo de revisión del artículo : 45 días | Media tiempo revisión número 62: 40 días
Tiempo de aceptación del artículo: 63 días | Media tiempo aceptación número 62: 72 días
Tiempo de edición del preprint: 171 días | Media tiempo edición número preprint 62: 176 días
Tiempo de edición del artículo: 216 días | Media tiempo edición número 62: 221 días
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Citas es Scopus
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