Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models

Sijie Wang, Lin Ni, Zeyu Zhang, Xiaoxuan Li, Xianda Zheng, Jiamou Liu

Abstract: Highlights•Student-question interactions modeled via a signed bipartite graph.•Problem cast as link sign prediction in signed bipartite graph.•Contrastive learning employed to handle student content noise.•Using large language model to extract knowledge from questions.