csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention

Youheng Bai, Xueyi Li, Zitao Liu, Yaying Huang, Teng Guo, Mingliang Hou, Feng Xia, Weiqi Luo

Abstract: Highlights•Our model innovatively addresses the cold-start problem in knowledge tracing.•Our model facilitates training and dynamic prediction by kernel bias.•Our model uses cone attention to learn hierarchical relations in interaction data.•Our model outperforms most baselines in predicting student performance.•Source code is open at https://pykt.org.