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Multilevel process monitoring: A case study to predict student success or failure
Journal of Quality Technology ( IF 2.5 ) Pub Date : 2020-10-12 , DOI: 10.1080/00224065.2020.1828008
Leo C. E. Huberts 1 , Marit Schoonhoven 1 , Ronald J. M. M. Does 1
Affiliation  

Abstract

In this case study, we demonstrate the use of multilevel process monitoring in quality control. Using high school data, we answer three research questions related to high school student progress during an academic year. The questions are (1) What determines student performance? (2) How can statistical process monitoring be used in monitoring student progress? (3) What method can be used for predictive monitoring of student results? To answer these questions, we worked together with a Dutch high school and combined hierarchical Bayesian modeling with statistical and predictive monitoring procedures. The results give a clear blueprint for student progress monitoring.



中文翻译:

多级过程监控:预测学生成功或失败的案例研究

摘要

在本案例研究中,我们展示了在质量控制中使用多级过程监控。使用高中数据,我们回答了三个与高中学生在一个学年中的进步有关的研究问题。问题是(1)什么决定了学生的表现?(2) 如何使用统计过程监控来监控学生的进步?(3) 可以使用什么方法对学生成绩进行预测监测?为了回答这些问题,我们与一所荷兰高中合作,将分层贝叶斯模型与统计和预测监测程序相结合。结果为学生进度监控提供了清晰的蓝图。

更新日期:2020-10-12
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