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Educational Software Evaluation : A Study from an Educational Data Mining Perspective

机译:教育软件评估:基于教育数据挖掘的研究

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In this paper the complicated task of educational software evaluation is revisited and examined from a different point of view. By the means of Educational Data Mining (EDM) techniques, in the present study 177 of the most common evaluation standards that have been proposed by various researchers are examined and evaluated with regards to the degree they affect the effectiveness of educational software. More specifically, via the employment of prediction, feature selection and relationship mining techniques we investigate for the underlying rationale hidden within the data collected from experiments conducted at the Department of Education of the University of Patras with regards to the software evaluation task and the results of this study are presented and discussed in a quantitative and qualitative way.
机译:本文从不同的角度重新审视了教育软件评估的复杂任务。通过教育数据挖掘(EDM)技术,在本研究中,我们对各种研究人员提出的最常见的评估标准177进行了评估,以评估它们对教育软件有效性的影响程度。更具体地说,通过使用预测,特征选择和关系挖掘技术,我们调查了在Patras大学教育系进行的实验中收集的有关软件评估任务和结果的数据背后隐藏的基本原理。本研究以定量和定性的方式进行介绍和讨论。

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