Aug. 30, 2022, 1:11 a.m. | Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu

cs.LG updates on arXiv.org arxiv.org

Knowledge tracing (KT) which aims at predicting learner's knowledge mastery
plays an important role in the computer-aided educational system. In recent
years, many deep learning models have been applied to tackle the KT task, which
have shown promising results. However, limitations still exist. Most existing
methods simplify the exercising records as knowledge sequences, which fail to
explore rich information that existed in exercises. Besides, the existing
diagnosis results of knowledge tracing are not convincing enough since they
neglect prior relations …

arxiv exercise graph hierarchical knowledge tracing

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Data Engineer (m/f/d)

@ Project A Ventures | Berlin, Germany

Principle Research Scientist

@ Analog Devices | US, MA, Boston