Title
DoSiLa: An Intelligent Tutoring System for Learning Music Content
Date Issued
01 January 2022
Access level
metadata only access
Resource Type
journal article
Author(s)
Publisher(s)
IEEE Computer Society
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.
Volume
2022-June
Language
Spanish
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Scopus EID
2-s2.0-85134810930
ISBN
9789893334362
Source
Iberian Conference on Information Systems and Technologies, CISTI
ISSN of the container
21660727
Sources of information: Directorio de Producción Científica Scopus