Rule Induction Algorithms Applied in Educational Data Set

W. Carvalho, C. Nobre, Luis E. Zárate
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Abstract

This article presents the application of three induction rules algorithm: OneR, RIPPER and PART in an educational data set aiming to explain the main factors that lead students to be succeed or failure in online course. The dataset used to develop this article was extracted from the log of activities of engineering students that enrolled in a 20 weeks course of Algorithm offered online. The students used Learning Management System, Moodle. The dataset was preprocessed and then it was applied the algorithms into it. As result it was observed that students who begin earlier an assignment improve their probability of succeed.
规则归纳算法在教育数据集中的应用
本文提出了三种归纳规则算法:OneR、RIPPER和PART在一个教育数据集中的应用,旨在解释影响学生在线课程成败的主要因素。用于开发本文的数据集是从在线提供的20周算法课程的工程专业学生的活动日志中提取的。学生们使用了学习管理系统Moodle。首先对数据集进行预处理,然后将算法应用到数据集中。结果发现,越早开始作业的学生成功的可能性越大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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