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  4. Learning Finance with Games: An Empirical Study
 
conference paper

Learning Finance with Games: An Empirical Study

Ingram, Sandy
•
Islambouli, Rania  
•
Andrianantenaina, Miharisoa
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January 1, 2021
2021 International Conference On Computational Science And Computational Intelligence (Csci 2021)
International Conference on Computational Science and Computational Intelligence (CSCI)

This paper presents an empirical case study on applying game-based learning in an undergraduate finance course. The paper describes the experimental study context, protocol, and results. Using multivariate regression analysis, a significant game effect on student performance is observed for competitive strategy-based games.

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Type
conference paper
DOI
10.1109/CSCI54926.2021.00205
Web of Science ID

WOS:000832229300155

Author(s)
Ingram, Sandy
Islambouli, Rania  
Andrianantenaina, Miharisoa
Weisskopf, Jean-Philippe
Masset, Philippe
Baudat, Nicole
Date Issued

2021-01-01

Publisher

IEEE

Publisher place

New York

Published in
2021 International Conference On Computational Science And Computational Intelligence (Csci 2021)
ISBN of the book

978-1-6654-5841-2

Start page

878

End page

882

Subjects

Computer Science, Artificial Intelligence

•

Computer Science, Interdisciplinary Applications

•

Computer Science, Theory & Methods

•

Computer Science

•

game-based learning

•

empirical study

•

regression

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SACS  
Event nameEvent placeEvent date
International Conference on Computational Science and Computational Intelligence (CSCI)

Las Vegas, NV

Dec 15-17, 2021

Available on Infoscience
August 29, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/190324
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