Influence of Pedagogic Approaches and Learning Styles on Motivation and Educational Efficiency of Computer Science Students

• Ouafae Debdi ^[1] ; Maximiliano Paredes-Velasco ^[1] ; J. Ángel Velázquez-Iturbide ^[1]
  1. [1] Laboratory of Information Technologies in Education, Rey Juan Carlos University, Móstoles, Spain
• Localización: Revista Iberoamericana de Tecnologías del Aprendizaje: IEEE-RITA, ISSN 1932-8540, Vol. 11, Nº. 3, 2016, págs. 213-218
• Idioma: inglés
• DOI: 10.1109/rita.2016.2590638
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• Dialnet Métricas: 1 Cita
• Resumen

  • The classic didactic approach that has been applied in the classroom for learning algorithms focuses on the use of lectures combined with practical exercises. In our approach, we propose a novel way for learning algorithms through interactive and collaborative experimentation. Furthermore, as far as we know, there are no existing studies that analyze the relationships that these approaches may have with the three key components in the learning process: the student's learning style, motivation during the learning process, and educational efficiency. In this paper, we present an experiment carried out in the classroom for learning greedy algorithms, which studies these components on two didactic approaches: the first one based on active teaching methodology and the second one on traditional teaching methods.

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