Recent advances in on-line tutoring systems have brought on an increase in the research of
Knowledge Tracing, which predicts the student's performance on coursework exercises over
time. Previous researches, such as Bayesian Knowledge Tracing, Deep Knowledge Tracing
(DKT) and qDKT, focused on either skill-level or question-level. As a result, those methods
fail to take question-skill correlations into account. Inspired by Heterogeneous Graph
Embedding (HGE), We propose a HGE-based knowledge tracing model. In this paper, a …

Abstract Knowledge tracing (KT), in which the future performance of students is estimated by
tracing their knowledge states based on their responses to exercises, is widely applied in
the field of intelligent education. However, existing mainstream KT models explore the
importance of knowledge relations but ignore the key role of cognitive factors. According to
the knowledge construction theory, the human cognitive system performs both spatial
accommodation and temporal assimilation to internalize knowledge. In this paper, we …