Kaggle-in-class Data Challenges Can Boost Student Learning

AustMS/AMSI Teaching Seminar Series

Date & Time: Monday 19 August 2019, 1-2pm AEST (GMT+10)

Speaker: Julia Polak (Melbourne)

Title: Kaggle-in-class Data Challenges Can Boost Student Learning

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.

Location: Online via Zoom: https://unimelb.zoom.us/j/787759102

Use the link above to participate on your PC, Mac, iOS or Android device.

See here for details for connecting via a H.323/SIP videoconferencing room.

Leave a comment

Filed under Conferences

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s