26 citations · 28 across the 5 of their papers we have counts for
5 papers
Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
Jiahao Chen, Zitao Liu, Shuyan Huang +2
Knowledge tracing (KT) is a crucial technique to predict students' future performance by observing their historical learning processes. Due to the powerful representation ability o…
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing
Zitao Liu, Qiongqiong Liu, Jiahao Chen +2
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recently, many works pres…
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Zitao Liu, Qiongqiong Liu, Jiahao Chen +4
Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recent studies have appli…
Wide & Deep Learning for Judging Student Performance in Online One-on-one Math Classes
Jiahao Chen, Zitao Liu, Weiqi Luo
In this paper, we investigate the opportunities of automating the judgment process in online one-on-one math classes. We build a Wide & Deep framework to learn fine-grained predict…
Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool
Ziyi Xi, Hao Lin, Weiqi Luo
With the development of computer graphics technology, the images synthesized by computer software become more and more closer to the photographs. While computer graphics technology…