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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.

Use of the Two-Stage Method in the study of the processes of musical teaching and learning through Moodle