论文标题
使用贝叶斯网络通过当前的学习绩效指标进行学生检测
Student-at-risk detection by current learning performance indicators using Bayesian networks
论文作者
论文摘要
本文通过及时引入支持措施，重点介绍了学生失败的预测问题。我们提出了一个概念，用于建立基于贝叶斯网络的预测模型，用于以混合学习形式教授的学术课程或模块。我们的经验研究证实，提出的方法是为教育过程的各种利益相关者开发预警系统的观点。
The present article is focused on the problem of prediction of student failures with the purpose of their possible prevention by timely introducing supportive measures. We propose a concept for building a predictive model based on Bayesian networks for an academic course or module taught in a blended learning format. Our empirical studies confirm that the proposed approach is perspective for the development of an early warning system for various stakeholders of the educational process.
