Statistics colloquium

Event status:

Dr Julia Polak of Melbourne University discusses how Kaggle-in-class data challenges can boost student learning.

Date:
Thursday 30 May 2019 12:00 pm until Thursday 30 May 2019 01:00 pm (Add to calendar)
Contact:
Andriy Olenko
03 9479 2609; A.Olenko@latrobe.edu.au
Presented by:
Dr Julia Polak, University of Melbourne
Type of Event:
Current Student: Undergraduate; Current Student: Postgraduate; Public

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

Map:

Room 310, Physical Sciences 2

La Trobe University, Melbourne Campus

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