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A Study on Student Performance, Engagement, and Experience With Kaggle InClass data Challenges
Journal of Statistics Education Pub Date : 2021-04-06 , DOI: 10.1080/10691898.2021.1892554
Julia Polak 1 , Dianne Cook 2
Affiliation  

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.



中文翻译:

Kaggle InClass 数据挑战中学生表现、参与度和体验的研究

摘要

Kaggle 是一项数据建模竞赛服务,参与者竞争以构建预测误差低于其他参与者的模型。几年前,他们发布了一项简化的服务,非常适合教师在课堂环境中举办比赛。本文描述了一个实验的结果,以确定参加预测建模竞赛是否能增强学习。证据表明确实如此。此外,还对学生进行了调查,以检查比赛是否提高了课堂参与度和兴趣。本文的补充材料可在线获取。

更新日期:2021-06-04
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