22 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.CY2022★ 1 cited
DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing
Rui Luo, Fei Liu, Wenhao Liang +3
In the field of intelligent education, knowledge tracing (KT) has attracted increasing attention, which estimates and traces students' mastery of knowledge concepts to provide high…
cs.CY2022
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing
Haotian Zhang, Chenyang Bu, Fei Liu +3
Knowledge tracing (KT) is a fundamental task in educational data mining that mainly focuses on students' dynamic cognitive states of skills. The question-answering process of stude…
cs.LG2019★ 22 cited
Semi-supervised representation learning via dual autoencoders for domain adaptation
Shuai Yang, Hao Wang, Yuhong Zhang +3
Domain adaptation aims to exploit the knowledge in source domain to promote the learning tasks in target domain, which plays a critical role in real-world applications. Recently, l…