DS-HGCN: Predicting Student Engagement with Social Contagion Using Dual-Stream Hypergraph Networks

The paper presents a novel approach to predicting student engagement using a dual-stream hypergraph convolutional network, offering a potentially powerful tool for educators. The method's effectiveness hinges on the successful modeling of social contagion within a student network, which warrants further validation and comparison with existing engagement prediction methods.

• •DS-HGCN utilizes a dual-stream hypergraph convolutional network.
• •The model aims to predict student engagement.
• •The approach leverages social contagion dynamics.