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Forecasting Students' Grades Using a Bayesian Network Model and an Evaluation of Its Usefulensss

机译:使用贝叶斯网络模型预测学生成绩及其有用性评估

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摘要

The objective of this study is to utilize students' data to forecast their future grades, and to identify the students who would benefit from educational counseling. To achieve these purposes, we propose a Bayesian network model as a forecasting method. A Bayesian network is a graphical model that presents the dependence relationship among some variables in a graph structure. By calculating the probability value using the model, it is possible to make forecasts. Moreover, in this study, to facilitate the construction of a Bayesian network model, data mining is introduced.
机译:这项研究的目的是利用学生的数据来预测他们将来的成绩,并确定将受益于教育咨询的学生。为了达到这些目的,我们提出了一种贝叶斯网络模型作为预测方法。贝叶斯网络是一种图形模型,它表示图结构中某些变量之间的依赖关系。通过使用模型计算概率值,可以进行预测。此外,在这项研究中,为了促进贝叶斯网络模型的构建,引入了数据挖掘。

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