3.8 Article

A Study on Student Performance, Engagement, and Experience With Kaggle InClass data Challenges

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ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/10691898.2021.1892554

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Data mining; Data science; Instructional technology; Statistical modeling; Statistics education

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Kaggle is a data modeling competition service that enhances learning by engaging students in predictive modeling competitions.
Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if participating in a predictivemodeling competition enhances learning. The evidence suggests it does. In addition, studentswere surveyed to examine if the competition improved engagement and interest in the class. Supplementary materials for this article are available online.

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