1 code implementation • 15 Aug 2023 • Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
Existing models tend to memorize the answer bias as a shortcut for achieving high prediction performance in KT, thereby failing to fully understand students' knowledge states.
1 code implementation • 23 Nov 2022 • Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, James Ko
Knowledge tracing aims to trace students' evolving knowledge states by predicting their future performance on concept-related exercises.
no code implementations • 9 Mar 2022 • Lianxin Song, Xiaohui Han, Guangqi Liu, Wentong Wang, Chaoran Cui, Yilong Yin
SMAJudge utilizes two sequential components to model the complete proceeding from the lower court to the appellate court and employs an attention mechanism to make the prediction more explainable, which handles the challenges of AJP effectively.
1 code implementation • 22 Jul 2021 • Chaoran Cui, Xiaojie Li, Juan Du, Chunyun Zhang, Xiushan Nie, Meng Wang, Yilong Yin
Extensive experiments on real-world data demonstrate the effectiveness of our approach.
1 code implementation • 22 Jul 2021 • Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin
Academic performance prediction aims to leverage student-related information to predict their future academic outcomes, which is beneficial to numerous educational applications, such as personalized teaching and academic early warning.
1 code implementation • 27 Apr 2020 • Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin
In non-stationary environments, learning machines usually confront the domain adaptation scenario where the data distribution does change over time.