Aplicación De Métodos De Diseño Centrado En El Usuario Y Minería De Datos Para Definir Recomendaciones Que Promuevan El Uso Del Foro En Una Experiencia Virtual De Aprendizaje
Year: 2012
Type: article
Abstract: The use of recommendation systems in learning virtual environments is increasingly becoming a feasible approach for providing the adaptive support required to attend students’ learning needs. With the interaction data obtained from these virtual environments it is possible to find indicators where data mining and machine learning techniques can be applied to identify relevant information that allows for the definition of recommendations. In this research we have applied unsupervised learning techniques to identify common interaction patterns with available forums in a course on the OpenACS/dotLRN platform. This will allow recommendations to be defined that help improve the students’ learning experience.
Language: Spanish
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W2138191773