Design of an Intelligent Agent for Personalization of Moodle’s Contents

Authors: María Lucila Morales Rodríguez, José Apolinar Ramírez Saldivar, Julia Patricia Sánchez Solís, Arturo Hernández Ramírez

Research in Computing Science, Vol. 56, pp. 11-17, 2012.

Abstract: This paper presents the architecture of an Intelligent Learning Management System (ILMS) applied to Moodle. Specifically, we present the design and implementation of an agent that select the teaching strategy according to the student's learning style. The chosen teaching strategy is used to filter the learning objects that are displayed to the students.

Keywords: Intelligent Learning Management System, teaching strategy, learning style, personalization content

PDF: Design of an Intelligent Agent for Personalization of Moodle’s Contents
PDF: Design of an Intelligent Agent for Personalization of Moodle’s Contents