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Title:
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AN EXPERIMENT WITH AN OPTIMIZATION GAME |
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Author(s):
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Ela Pustulka, Thomas Hanne, Benjamin Adriaensen, Stefan Eggenschwiler, Egemen Kaba and Richard Wetze |
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ISBN:
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978-989-8533-91-3 |
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Editors:
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Katherine Blashki and Yingcai Xiao |
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Year:
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2019 |
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Edition:
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Single |
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Keywords:
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Computational Intelligence, Optimization Game, TLBO Algorithm |
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Type:
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Full Paper |
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First Page:
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173 |
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Last Page:
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180 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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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