Preferential complementary learning style-type indicator

摘要

Automation, using a web application, of the “Test Indicador de estilo del Aprendizaje Preferencial Complementario, TIAPC” (Indicator Test of the style type in Preferential Complementary Learning, ITPCL), is shown in this work. The application identifies the learning style of a student (also applicable to any person), saving time in the assessment of the traditional questionnaire. The model of styles called Preferential Complementary Learning, PCL, focuses on one's personality and learning ability, identifying the individual as a whole. This model has been used as the basis for the methodology of various subjects in the field of programming in Computer Engineering. The reliability and validity results of the online questionnaire from the students of a subject of the Degree of Computer Engineering academic year 2013–2014 are show herein.