DoSiLa: An Intelligent Tutoring System for Learning Music Content

ABSTRACT

The COVID-19 pandemic caused a digital transformation for educational institutions, causing many of them, including music conservatories, to not have the same teaching effectiveness as before. This article analyses the learning of musical content through a before and after comparison of the implementation of an intelligent tutoring system in the preparatory programme Formación Básica I at the Carlos Valderrama Conservatory in Trujillo-Peru;the type of research was applied, pre-experimental, also, a survey was used as a tool for data collection, which was validated by expert judgement. In order to create the intelligent tutoring system, the Mobile-D methodology was used, which has the following phases Exploration, Initialisation, Production, Stabilisation and Testing, in addition, software development tools were used such as Ionic, Angular, HTML and CSS, as well as Dialogflow and Kommunicate services, finally, the Model View Controller (MVC) software architecture pattern was used. © 2022 IEEE Computer Society. All rights reserved.