Evaluación de objetos digitales de aprendizaje musical en Moodle

  1. Manuel Jesús Espigares Pinazo 1
  2. José Manuel Bautista Vallejo 2
  1. 1 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  2. 2 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

Revista:
Educatio siglo XXI: Revista de la Facultad de Educación

ISSN: 1989-466X,  1699-2105

Año de publicación: 2018

Título del ejemplar: Resolución de problemas matemáticos: Tecnologías Digitales, Procesos Cognitivos y Metacognitivos y Formación de Profesores de Matemáticas

Volumen: 36

Número: 3

Páginas: 377-396

Tipo: Artículo

DOI: 10.6018/J/350051 DIALNET GOOGLE SCHOLAR lock_openDIGITUM editor

Otras publicaciones en: Educatio siglo XXI: Revista de la Facultad de Educación

Objetivos de desarrollo sostenible

Resumen

This study presents the application of automated analysis processes to digital objects in online music learning, mediated through a telematic platform. Theoretically, the study is based on the application of the principles of e-learning, personalized education and implementation of automated processes for analysing educational data. Specifically, this study taps into the application of such techniques to initial test assessment, with a view to measuring levels of subject knowledge. The analysis of the information is undertaken from the data collected in a tool for making online courses, Moodle. From the analysis of these data a model, called k-means, emerges which classifies the different levels of musical knowledge. The model establishes three profiles regarding acquisition of music knowledge: high, medium and low.

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Fuente de los datos: Dialnet