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Simulations of Decision-Making as Active Learning Tools

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Cover of 'Simulations of Decision-Making as Active Learning Tools'

Table of Contents

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    Book Overview
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    Chapter 1 Simulations of Decision-Making in Political Science Education
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    Chapter 2 Learning from Simulations of Decision-Making
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    Chapter 3 The Costs and Benefits of Organizing a Multi-institutional Simulation on the European Union
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    Chapter 4 Do Simulations Enhance Decision-Making in the EU Financial Services?
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    Chapter 5 What’s the EU? Achieving Learning Outcomes and Preparing US Students for EuroSim
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    Chapter 6 Mission Impossible? Verisimilitude in EU Simulations
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    Chapter 7 “Will It Blend?” Combining Online and On-Site Elements in Simulation Games
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    Chapter 8 Oranges and Apples? Using Comparative Judgement for Reliable Briefing Paper Assessment in Simulation Games
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    Chapter 9 Assessment Strategies in Simulation Games
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    Chapter 10 How Simulations of Decision-Making Affect Learning
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    Chapter 11 Simulating European Climate Policy Negotiations in a Teacher Training Seminar: Which Effects Can Be Detected?
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    Chapter 12 Effects of EU Simulation Games on Secondary School Students’ Political Motivations, Attitudes and Knowledge: Results of an Intervention Study
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    Chapter 13 Learning Effects of Negotiation Simulations: Evidence from Different Student Cohorts
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    Chapter 14 Simulations Are No ‘One-for-All’ Experience: How Participants Vary in Their Development of Self-efficacy for Negotiating
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    Chapter 15 Simulations of Decision-Making in Political Science Education: Premises, Promises and Challenges
Attention for Chapter 2: Learning from Simulations of Decision-Making
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Citations

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Readers on

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Summary Dimensions citations
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Chapter title
Learning from Simulations of Decision-Making
Chapter number 2
Book title
Simulations of Decision-Making as Active Learning Tools
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-74147-5_2
Book ISBNs
978-3-31-974146-8, 978-3-31-974147-5
Authors

Peter Bursens, David Gijbels, Vincent Donche, Pieter Spooren

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 20%
Student > Postgraduate 1 20%
Unknown 3 60%
Readers by discipline Count As %
Social Sciences 2 40%
Unknown 3 60%

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