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A method of identifying students who require guidance using Bayesian network

机译:使用贝叶斯网络识别需要指导的学生的方法

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The presence of students repeating years and withdrawing from university is a concern at most universities. Our research is intended to use student data accumulated through past to support academic guidance, in order to resolve this issue. It is hoped that numbers of students repeating years and withdrawing students will decrease in the future through defining students at high risk of repeating years and withdrawing as students requiring guidance, identifying such students early, and concentrating guidance efforts on them. In this paper, we use a Bayesian network to construct a model for identifying students who require guidance.
机译:在大多数大学中,留学生复读和退学的存在是一个令人担忧的问题。我们的研究旨在利用过去积累的学生数据来支持学术指导,以解决此问题。希望将来通过定义高风险复读和退学的学生为需要指导的学生,尽早确定此类学生并集中于他们的指导努力,在将来减少重读和退学的学生数量。在本文中,我们使用贝叶斯网络来构建用于识别需要指导的学生的模型。

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