计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 280-282.

• 数据库与数据挖掘 • 上一篇    下一篇

贝叶斯网络在学生成绩预测中的应用

黄建明   

  1. (昆明理工大学计算中心 昆明650504)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Application of Bayesian Networl} to Predicting Students' Achievement

  • Online:2018-11-16 Published:2018-11-16

摘要: 学生成绩是高校教学质量评价的重要依据。以学生课程成绩为数据样本,提出一种主干课程贝叶斯网络模型的构建方法。在网络参数学习完备后,对学生相关课程成绩进行了推理预测。结果表明,模型能有效揭示影响课程成绩的关键因素,为决策提供依据。

关键词: 贝叶斯网络,结构学习,概率推理,成绩预测

Abstract: Students' achievement is an important basis for the evaluation of teaching quality in universities. This paper presented a construction method for main courses Bayesian networks,which use course score as data sample. After the network parameter learning, we have inference and prediction to course score. The results show that the model can reveal effectively the key factors of which affect the course score, and to provide a basis for decision-making.

Key words: Bayesian network, Structure learning, Probability inference, Achievement prediction

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