电子学习系统中的数据可视化技术

E. Brtka, V. Brtka, Visnja Ognjenovic, I. Berkovic
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引用次数: 8

摘要

数据挖掘技术及其应用被广泛认为是各个领域的强大工具。教育数据挖掘是一门新兴学科,涉及开发方法来探索来自教育背景的独特类型的数据。在教育领域,在教育过程中收集了各种不同类型的数据。主要问题是:是否有可能用数据挖掘系统处理收集到的数据?数据挖掘和电子学习交互的主要优势是什么?在本文中,我们提出了一个洞察课程管理系统和数据挖掘技术之间可能的交互。这项工作的主要目标是研究一些数据挖掘技术,以便为学习者提供最合适的学习对象。本文对可视化作为一种数据挖掘技术进行了研究。为此,我们使用了免费的数据挖掘工具Weka。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The data visualization technique in e-learning system
Data mining techniques and their applications are widely recognized as powerful tools in various domains. Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. In the domain of education, there are varieties of data of different types collected during the educational process. The main question is: Is it possible to process the collected data with the data mining system and what are main advantages of data mining and e-learning interaction? In this paper, we present an insight into the possible interaction between course management system and data mining techniques. The main goal of this work is to investigate some data mining techniques in order to deliver most appropriate learning object to the learner. In this paper, visualization as a data mining technique is investigated. For this purpose, free data mining tool Weka was used.
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