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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
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Title
Simulations of Decision-Making as Active Learning Tools
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-74147-5
ISBNs
978-3-31-974146-8, 978-3-31-974147-5
Editors

Peter Bursens, Vincent Donche, David Gijbels, Pieter Spooren

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 25%
Social Sciences 1 25%
Unknown 2 50%