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Kaggle-in-class Data Challenges Can Boost Student Learning

Kaggle-in-class Data Challenges Can Boost Student Learning

Date

Monday 19 August 2019, 1:00pm (AEST)

Speakers

Julia Polak (Melbourne)

Abstract: 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 reduced service that enables instructors to run competitions in a classroom setting. This paper describes the results of an experiment to determine if participating in a predictive modeling competition enhances learning. The evidence suggests it does. In addition, students were surveyed to examine if the competition improved engagement and interest in the class.

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