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Introducing new criteria for IR, using student data compared analysis based on Eduinformatics

机译:使用基于EduinFormatics的学生数据比较分析来引入IR的新标准

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Recently, we proposed "Eduinformatics," a new field of education that combines both education and informatics. In addition, we introduced new criteria to utilize student data in Institutional Research (IR). In a previous article, we defined "primary data" as the first standard which is not combined linear data and "secondary data" as the second standard which is a linear combination of primary data. However, in this article we will present new definitions of Primary and Secondary data because our analysis of actual educational data has revealed that Secondary data is not only linear data, but also nonlinear. Moreover, we will present examples in which primary data was used to detect elements that could not be founded through the analysis of secondary data, and were pitfalls of compared analysis performed by IR practitioners.
机译:最近,我们提出了“EduinFormatics”,是一个结合教育和信息学的新教育领域。 此外,我们介绍了在机构研究中使用学生数据的新标准(IR)。 在上一篇文章中,我们将“主要数据”定义为第一个标准,该标准不是组合线性数据和“辅助数据”作为第二标准,这是主要数据的线性组合。 但是,在本文中,我们将呈现初级和次要数据的新定义,因为我们对实际教育数据的分析揭示了辅助数据不仅是线性数据,而且是非线性的。 此外,我们将展示主要数据用于检测无法通过分析次要数据而无法创立的元素,并且是IR从业者执行的比较分析的陷阱。

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