Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems
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Lorenzo Cevallos-Torres Miguel Botto-Tobar
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Studies in Computational Intelligence Volume 824
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
More information about this series at http://www.springer.com/series/7092
Lorenzo Cevallos-Torres Miguel Botto-Tobar
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Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
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Lorenzo Cevallos-Torres Faculty of Mathematical and Physical Sciences University of Guayaquil Guayaquil, Ecuador
Miguel Botto-Tobar Eindhoven University of Technology Eindhoven, The Netherlands University of Guayaquil Guayaquil, Ecuador
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-13392-4 ISBN 978-3-030-13393-1 (eBook) https://doi.org/10.1007/978-3-030-13393-1 Library of Congress Control Number: 2019931854 © Springer Nature Switzerland AG 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the materia
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