Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45932
Title: Preferential complementary learning style-type indicator
Authors: Roca, Margarita Díaz 
Rodríguez, Gustavo Rodríguez 
Cordeiro, Francisco J Gil
Duchement, José Pablo Santana
UNESCO Clasification: 33 Ciencias tecnológicas
Keywords: Learning style type indicator
Preferential complementary learning
Learning methodology
Formation of working teams
Issue Date: 2014
Conference: 9th Iberian Conference on Information Systems and Technologies (CISTI) 
9th Iberian Conference on Information Systems and Technologies, CISTI 2014 
Abstract: 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.
URI: http://hdl.handle.net/10553/45932
ISBN: 978-9-8998-4343-1
ISSN: 2166-0727
DOI: 10.1109/CISTI.2014.6876948
Source: Iberian Conference on Information Systems and Technologies, CISTI [ISSN 2166-0727] (6876948)
Appears in Collections:Actas de congresos
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