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Procedia Computer Science
Article . 2017 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
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Help The Math Town: Adaptive Multiplayer Math-Science Games using Fuzzy Logic

Authors: Charles Ivan; Pingkan C. B. Rumondor; Michael Yoseph Ricky; Emny Harna Yossy; Widodo Budiharto;

Help The Math Town: Adaptive Multiplayer Math-Science Games using Fuzzy Logic

Abstract

Abstract The mobile games for education and entertainment are rapidly developed. Unfortunately the development of interesting and entertaining adaptive multiplayer game based learning for math and science that consider psychological aspects and game balancing for students on mobile platforms that have game balancing is very limited. This paper proposes an integrated model of adaptive Math and Science game based learning for elementary school students with adjustable level of difficulty based on user’s ability and additional option for “Free” and “Adventures” modes. We propose a method where level of difficulty can be adjusted based on previous score, using fuzzy two inputs in the form of percentage correct and the speed of answer to produce output. The experimental results are presented and show the adaptive games are running well on mobile devices based on Android platform and well received by elementary school students grade 3 to 6.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Average
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