Research on the prediction and early warning model of student achievement based on heterogeneous information network
Xu Xiaoyu
(Literature Information Center,，Zhejiang Wanli University，Ningbo 315000,，China)
Abstract：
Abstract： Recommendation system is a powerful technology in data mining. Heterogeneous information network is the mainstream recommendation method which started late but developed rapidly. In this paper, we proposed a student achievement prediction and early warning model based on heterogeneous information network. This method obtains the similarity matrix among students by Meta-Graph calculation, constructs the achievement change trend matrix and amplitude matrix by using the similarity matrix, and obtains the student achievement early warning and prediction by voting. Finally, the effectiveness of the proposed model is verified on the open data set, the experimental results show that the model can give early warning to the student achievement and can predict the specific score of students′ performance under a certain threshold.
Key words : heterogeneous information network,；Meta-Graph；academic warning,；academic prediction,；data mining
