Herramienta para la detección de estilos de aprendizaje en estudiantes utilizando la plataforma moodle

Abstract

A methodology for detecting learning styles in students using Learning Management System (LMS) based on Felder and Silverman test is proposed. To construct the product the methodology for software development by components was used and the lstest Moodle module was adapted. The proposed methodology can detect learning styles that students possess, placing them as active-reflective, visualverbal, sensory-intuitive and comprehensive-sequencing according to Felder and Silverman. As a case study, the methodology was tested by a group of freshmen students of the Systems Engineering program of the University of Cartagena in Colombia. With the use of this tool the instructor can apply learning strategies allowing the construction of resources and materials adapted to the student.