Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation (Hardcover, 1st ed. 2019)

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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.

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Product Description

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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Studies in Computational Intelligence, 824

Release date

March 2019

Availability

Expected to ship within 10 - 15 working days

First published

2019

Authors

,

Dimensions

235 x 155mm (L x W)

Format

Hardcover

Pages

132

Edition

1st ed. 2019

ISBN-13

978-3-03-013392-4

Barcode

9783030133924

Categories

LSN

3-03-013392-3



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