Kaggle-in-class Data Challenges Can Boost Student Learning
Evan Williams Theatre, Ground Floor
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, Lecturer