Uso del Método Bietápico en el estudio de los procesos de enseñanza y aprendizaje musical a través de Moodle

  1. Duarte de krummel, Matilde 1
  2. Espigares Pinazo, Manuel Jesús 2
  3. Bautista-Vallejo, José Manuel 3
  1. 1 Candidata a Doctora por la Universidad de Almería, España. Candidata a Doctora por la Universidad Iberoamericana, Red Pablo Neruda, Asunción, Paraguay. Investigadora de la Universidad del Cono Sur de las Américas, UCSA, Asunción, Paraguay Docente de la Universidad Autónoma de Asunción, UAA, Asunción, Paraguay. Consultora Cátedra Ciencia, Tecnología y Sociedad, CONACYT-OEI, Paraguay.
  2. 2 Universidad Internacional de La Rioja
    info

    Universidad Internacional de La Rioja

    Logroño, España

    ROR https://ror.org/029gnnp81

  3. 3 Universidad de Huelva
    info

    Universidad de Huelva

    Huelva, España

    ROR https://ror.org/03a1kt624

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Journal:
Revista Internacional de Investigación en Ciencias Sociales

ISSN: 2226-4000,  2225-5117

Year of publication: 2017

Issue Title: Diciembre, 2017

Volume: 13

Issue: 2

Pages: 187-200

Type: Article

DOI: 10.18004/RIICS.2017.DICIEMBRE.187-200 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: Revista Internacional de Investigación en Ciencias Sociales

Abstract

This study presents the application of the techniques of Big Data in music teaching and learning processes, using telematic platforms. It is based on the application of the principles of virtual learning, personalized education, Internet using and application of the techniques of Big Data from the information in knowledge management systems. Specifically, the application of such techniques to test initial assessment arises, the students performed in the early going, to measure their level of prior knowledge on the subject. The data analysis is carried out from data collected in a tool for making online courses, Moodle. From these data, a model, called Bietapic model, which classifies the different levels of musical knowledge. This technique allows the division of the information in clusters or conglomerates, through processes programmed and automated analysis. In short, the Bietapic model provides a valid and reliable way to manage massive data online in music learning processes, classify the information collected in databases and profiling of students by facilitating their educational monitoring.

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