学习分析作为预测学生表现的工具

2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2018-09-01 DOI:10.1109/STC-CSIT.2018.8526741

V. Verhun, A. Batyuk, V. Voityshyn

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引用次数: 3

摘要

本文描述了在预测学生成绩的概念下，教育数据挖掘过程的观点。当前与教育领域相关的软件系统的功能允许分析和利用数据挖掘过程和机器学习算法的结果，以便做出教育方法的决策和证明。

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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Learning Analysis as a Tool for Predicting Student Performance

This article describes the perspectives of Education Data Mining process within the concept of predicting student performance. Current capabilities of software systems related to education domain allow to analyze and leverage outcomes of data mining process and machine learning algorithms in order to make decisions and justifications of educational approaches.

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来源期刊

2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT)

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