El Proceso de Implementación de Analíticas de Aprendizaje




Palabras clave:

analítica de aprendizaje, minería de datos educacionales, metodología, tecnología educativa, educación informada por datos, ciencia de datos


Con el despegue de la popularidad del área de analítica de aprendizaje durante la última década, numerosas investigaciones han surgido y la opinión pública se ha hecho eco de esta tendencia. Sin embargo, la realidad es que el impacto que ha tenido en la práctica ha sido bastante bajo, y se está produciendo poca transferencia a las instituciones educativas. Una de las posibles causas es la elevada complejidad del campo, y que no existan procesos claros; por ello, en este trabajo, se propone un pragmático proceso de implementación de analíticas de aprendizaje en cinco etapas: 1) entornos de aprendizaje, 2) recolección de datos en crudo, 3) manipulación de datos e ingeniería de características, 4) análisis y modelos y 5) aplicación educacional. Además, se revisan una serie de factores transversales que afectan esta implementación, como la tecnología, ciencias del aprendizaje, privacidad, instituciones y políticas educacionales. El proceso que se detalla puede resultar de utilidad para investigadores, analistas de datos educacionales, educadores e instituciones educativas que busquen introducirse en el área. Alcanzar el verdadero potencial de las analíticas de aprendizaje requerirá de estrecha colaboración y conversación entre todos los actores involucrados en su desarrollo, que permita su implementación de forma sistemática y productiva.


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Cómo citar

Ruipérez-Valiente, J. A. (2020). El Proceso de Implementación de Analíticas de Aprendizaje. RIED-Revista Iberoamericana De Educación a Distancia, 23(2), 85–101. https://doi.org/10.5944/ried.23.2.26283