Learning Finance with Games: An Empirical Study
2021
Abstract
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.
Details
Title
Learning Finance with Games: An Empirical Study
Author(s)
Ingram, Sandy ; Islambouli, Rania ; Andrianantenaina, Miharisoa ; Weisskopf, Jean-Philippe ; Masset, Philippe ; Baudat, Nicole
Published in
2021 International Conference On Computational Science And Computational Intelligence (Csci 2021)
Pages
878-882
Conference
International Conference on Computational Science and Computational Intelligence (CSCI), Dec 15-17, 2021, Las Vegas, NV
Date
2021-01-01
Publisher
New York, IEEE
ISBN
978-1-6654-5841-2
Keywords
Other identifier(s)
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Laboratories
SACS
Record Appears in
Scientific production and competences > SB - School of Basic Sciences > MATH - Institute of Mathematics > SACS - Scalable Computing Systems
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Peer-reviewed publications
Conference Papers
Work produced at EPFL
Published
Record creation date
2022-08-29