Experiencia en modelado a través del aprendizaje basado en decisiones: Aplicaciones de la teoría, a la práctica y a la tecnología

Palabras clave: Modelado de la experiencia, Aprendizaje basado en decisiones, DBL, Tecnología educativa, Aprendizaje

Resumen

En la educación superior, los profesores generalmente se contratan por su experiencia en el campo. Han recibido una amplia formación en la disciplina, pero han recibido una formación limitada en la enseñanza. Por lo tanto, luchan de dos maneras para enseñar y desarrollar la experiencia en los principiantes: en primer lugar, a menudo no saben cómo funciona su propia experiencia intuitiva y, en segundo lugar, carecen de una estrategia pedagógica para enseñar a los estudiantes su toma de decisiones intuitiva y experta. En este artículo, sintetizamos la literatura sobre estas dificultades para expertos. Luego, discutimos cómo DBL (aprendizaje basado en decisiones) usa el análisis de tareas cognitivas para ayudar a los expertos a hacer explícito su conocimiento y cómo DBL puede ser una solución pedagógica apropiada para muchos profesores universitarios. Finalmente, proporcionamos estudios de caso de DBL en acción y discutimos cómo la tecnología educativa puede apoyar la teoría y la práctica del aprendizaje basado en decisiones.

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Publicado
30-09-2020
Cómo citar
Cardenas, C., West, R., Swan, R., & Plummer, K. (2020). Experiencia en modelado a través del aprendizaje basado en decisiones: Aplicaciones de la teoría, a la práctica y a la tecnología. Revista De Educación a Distancia (RED), 20(64). https://doi.org/10.6018/red.408651
Sección
Theories of learning and instructional theory for digital education