ASSISTments Dataset from Multiple Randomized Controlled Experiments

ASSISTments Dataset from Multiple Randomized Controlled Experiments
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来自多个随机对照实验的 ASSISTments 数据集

DOI:
10.1145/2876034.2893409
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发表时间:
2016
期刊:
Proceedings of the Third (2016) ACM Conference on Learning @ Scale
影响因子:
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通讯作者:
N. Heffernan
N. Heffernan
中科院分区:
--
文献类型:
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作者:
Douglas Selent;Thanaporn Patikorn;N. Heffernan

文献摘要

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在本文中,我们提供了一个由ASSIStments在线学习平台中22个先前和目前正在运行的随机对照实验产生的数据组成的数据集。此数据集为研究人员提供了数据挖掘机会,以便以方便的格式同时跨多个实验分析ASSISTments数据。详细解释了数据预处理步骤,以告知研究人员该数据集是如何生成的。提供列说明列表以定义数据集中的列,并提供一组摘要统计信息以简要描述数据集。
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSIStments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time. The data preprocessing steps are explained in detail to inform researchers about how this dataset was generated. A list of column descriptions is provided to define the columns in the dataset and a set of summary statistics are presented to briefly describe the dataset.