A Grade Prediction Model Using Knowledge Graph and Time Series
Yiwen Zhang, Vladimir Y. Mariano · 2023
In order to improve student achievement and reduce the failure rate, student achievement prediction is particularly important. At present, the methods of collaborative filtering and linear regression are mainly used to predict student achievements. However, only using academic performance to predict can not reflect the characteristics of students. Because according to the analysis of course content, there may be similarities between courses and time series characteristics.Above the problems, this paper proposes a course prediction method based on knowledge graph to learn and extract user features and relationships, and forecast using a time series model. The experimental results show that the course grade prediction method based on knowledge graph can reduce the error and enhance the interpretability of the model.