An experiment with an optimization game
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Authors
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Publication date
2019
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04B - Conference paper
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Parent work
IADIS International Conference Interfaces and Human Computer Interaction 2019 (part of MCCSIS 2019)
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Issue / Number
Pages / Duration
173-180
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Place of publication / Event location
Porto
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Abstract
We aim to improve the teaching of the principles of optimization, including computational intelligence (CI), to a mixed audience of business and computer science students. Our students do not always have sufficient programming or mathematics experience and may be put off by the expected difficulty of the course. In this context we are testing the potential of games in teaching. We deployed a game prototype (design probe) and found out that the prototype led to increased student motivation, intuitive understanding of the principles of optimization, and strong interaction in a team. Ultimately, with the future work we sketch out, this novel approach could improve the learning and understanding of optimization algorithms and CI in general, contributing to the future of Explainable AI (XAI).
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Subject (DDC)
330 - Wirtschaft
Event
2019 International Conferences Interfaces and Human Computer Interaction (IHCI 2019)
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Conference start date
16.07.2019
Conference end date
18.07.2019
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ISBN
978-989-8533-91-3
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Language
English
Created during FHNW affiliation
Yes
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Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
PUSTULKA, Elzbieta, Thomas HANNE, Benjamin ADRIAENSEN, Stefan EGGENSCHWILER, Egemen KABA und Richard WETZEL, 2019. An experiment with an optimization game. In: Katherine BLASHKI und Yingcai XIAO (Hrsg.), IADIS International Conference Interfaces and Human Computer Interaction 2019 (part of MCCSIS 2019). Porto. 2019. S. 173–180. ISBN 978-989-8533-91-3. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42507