Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

• Main Authors: Cevallos-Torres, Lorenzo (Author, http://id.loc.gov/vocabulary/relators/aut), Botto-Tobar, Miguel (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 824
• Subjects: Computational intelligence.; Artificial intelligence.; Educational technology.; Mathematical statistics.; Computational Intelligence.; Artificial Intelligence.; Technology and Digital Education.; Probability and Statistics in Computer Science.
• Physical Description: XVI, 132 p. 43 illus., 22 illus. in color. online resource.
• ISBN: 9783030133931
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-030-13393-1

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 by creating simulation models and probability distributions that allow correlations to be drawn between a real model and a simulated model. Moreover, the book demonstrates the role of simulation in decision-making processes connected to teaching and learning.