ML-Quest: a game for introducing machine learning concepts to K-12 students

Owing to the predominant role of Machine Learning(ML) across domains, it is being introduced at multiple levels of education, including K-12. Researchers have leveraged games, augmented reality and other ways to make learning ML concepts interesting. However, most of the existing games to teach ML c...

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Bibliographic Details
Published in:Interactive learning environments 2024-01, Vol.32 (1), p.229-244
Main Authors: Priya, Shruti, Bhadra, Shubhankar, Chimalakonda, Sridhar, Venigalla, Akhila Sri Manasa
Format: Article
Language:English
Subjects:
Artificial Intelligence
Augmented reality
Computer Simulation
Control Groups
Elementary Secondary Education
Experimental Groups
Games
K-12 education
K-nearest neighbors algorithm
learning
Machine learning
Secondary School Students
Secondary Schools
Students
Supervised learning
teaching
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Summary:Owing to the predominant role of Machine Learning(ML) across domains, it is being introduced at multiple levels of education, including K-12. Researchers have leveraged games, augmented reality and other ways to make learning ML concepts interesting. However, most of the existing games to teach ML concepts either focus on use-cases and applications of ML instead of core concepts or directly introduce ML terminologies, which might be overwhelming to school students. Hence, in this paper, we propose ML-Quest, a game to incrementally present a conceptual overview of three ML concepts: Supervised Learning, Gradient Descent and K-Nearest Neighbor (KNN) Classification. The game has been evaluated through a controlled experiment, for its usefulness and player experience using the TAM model, with 41 higher-secondary school students. Results show that students in the experimental group perform better in the test than students in the control group, with 5% of students in the experimental group scoring full marks. However, none of the students in the control group could score full marks. The survey results indicate that around 77% of the participants who played the game either agree or strongly agree that ML-Quest has made their learning interactive and is helpful in introducing them to ML concepts.
ISSN:1049-4820
1744-5191
DOI:10.1080/10494820.2022.2084115