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A Study on Student Performance, Engagement, and Experience With Kaggle In Class data Challenges.

Authors :
Polak, Julia
Cook, Dianne
Source :
Journal of Statistics & Data Science Education. 2021, Vol. 29 Issue 1, p63-70. 8p.
Publication Year :
2021

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 simplified service that is ideal for instructors to run competitions in a classroom setting. This article 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. Supplementary materials for this article are available online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26939169
Volume :
29
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Statistics & Data Science Education
Publication Type :
Academic Journal
Accession number :
151115033
Full Text :
https://doi.org/10.1080/10691898.2021.1892554