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

1. Auflage 2019
ISBN: 978-3-030-13395-5
Verlag: Springer International Publishing

Buch, Englisch, Band 824, 132 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Botto-Tobar, Miguel

Cevallos-Torres, Lorenzo

Fachgebiete

• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein E-Learning

Inhaltsverzeichnis

The System Simulation and their Learning Processes.- Process Sampling.- Pseudo-random Numbers and Congruential Methods.- Random Variable Generation Methods.- Monte Carlo Simulation Method.- Case Study: Logistical Behavior in the use of Urban Transport Using the Monte Carlo Simulation Method.- Case Study: Project-Based Learning to Evaluate Probability Distributions in Medical Area.- Case Study: Probabilistic Estimates in the Application of Inventory Models for Perishable Products in SMEs.