A game teaching population based optimization using teaching-learning-based optimization
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Author (Corporation)
Publication date
2019
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Collections
Type
04B - Conference paper
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Editor (Corporation)
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Parent work
GSGS'19. 4th Gamification & Serious Game Symposium
Special issue
DOI of the original publication
Series
Series number
Volume
Issue / Number
Pages / Duration
45-48
Patent number
Publisher / Publishing institution
Place of publication / Event location
Neuchâtel
Edition
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Abstract
We want to lower the entry barrier to optimization courses. To that aim, we deployed a game prototype and tested it with students who had no previous optimization experience. We found out that the prototype led to an increased student motivation, an intuitive understanding of the principles of optimization, and a strong interaction in a team. We will build on this experience to develop further games for classroom use.
Keywords
Subject (DDC)
330 - Wirtschaft
Event
4th Gamification & Serious Game Symposium (GSGS'19)
Exhibition start date
Exhibition end date
Conference start date
04.07.2019
Conference end date
04.07.2019
Date of the last check
ISBN
978-2-940387-24-3
978-2-940387-25-0
978-2-940387-25-0
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
Open access category
Closed
License
Citation
PUSTULKA, Elzbieta, Thomas HANNE, Wetzel RICHARD, Kaba EGEMEN, Adriaensen BENJAMIN, Eggenschwiler STEFAN und Benjamin ADRIAENSEN, 2019. A game teaching population based optimization using teaching-learning-based optimization. In: GSGS′19. 4th Gamification & Serious Game Symposium. Neuchâtel. 2019. S. 45–48. ISBN 978-2-940387-24-3. Verfügbar unter: https://irf.fhnw.ch/handle/11654/42448