Kaggle-in-class Data Challenges Can Boost Student Learning


Kaggle-in-class Data Challenges Can Boost Student Learning

Evan Williams Theatre, Ground Floor
Peter Hall
Monash Road


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T: 0420849804


A Joint MSLC Occasional and AustMS/AMSI Teaching Seminar

(To join remotely using Zoom software go to https://unimelb.zoom.us/j/787759102)

Kaggle is a data modelling 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 modelling 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.


  • Dr Julia Polak
    Dr Julia Polak, Lecturer