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

Artikelnummer: 978-3-030-13393-1
Einband: PDF
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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.

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.

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VerlagSpringer International Publishing
EinbandPDF
Erscheinungsjahr2019
Seitenangabe132 S.
AusgabekennzeichenEnglisch
AbbildungenXVI, 132 p. 43 illus., 22 illus. in color.
Masse3'350 KB
PlattformPDF
ReiheStudies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics
AutorCevallos-Torres, Lorenzo / Botto-Tobar, Miguel

Alle Bände der Reihe "Studies in Computational Intelligence; Intelligent Technologies and Robotics; Intelligent Technologies and Robotics (R0)"

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