Teaching Students About Machine Learning Through a Gamified Approach

The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation,...

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Bibliographic Details
Published in2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) pp. 1011 - 1015
Main Authors Rattadilok, Prapa, Roadknight, Chris, Li Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Buildings
Computer science
Education
Games
gamification
Machine learning
machine teaching
personalised learning
Software
universal design for learning
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ISSN2470-6698
DOI10.1109/TALE.2018.8615279

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Summary:The teaching of machine learning requires a range of tools and techniques to engage students and allow them to relate the processes involved to real world situations that they have previously experienced. One way to facilitate this learning process is to integrate the learning into a game situation, which is by definition fun to engage with and offers immediate rewards. This research shows that by collecting the student's behaviour and actions as they engage with well-known game software, the learning of key machine learning concepts can be enabled. It is also shown that customising of learning can be made possible by the use of gamification.
ISSN:2470-6698
DOI:10.1109/TALE.2018.8615279