基于数据挖掘技术的学生成绩预测数据预处理框架

2015 19th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2015-11-09 DOI:10.1109/ICSTCC.2015.7321398

M. Danubianu

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引用次数: 5

摘要

数据挖掘应用于教育数据，目的是在海量数据中发现有用的模式，从而对教育路径进行转换和优化。它涉及许多步骤。本文介绍了一个利用Moodle系统收集的数据进行学生成绩预测的数据预处理框架的案例研究。

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A data preprocessing framework for students' outcome prediction by data mining techniques

Data mining applied on educational data aims to find useful patterns in large volumes of data in order to transform and optimize educational paths. It involves many steps. This paper presents a case study for a data preprocessing framework for students' outcome prediction using data collected by Moodle system.

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2015 19th International Conference on System Theory, Control and Computing (ICSTCC)

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