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.
