Jul 25, 2020 · Extensive experiments demonstrate that CKT could obtain better knowledge tracing results through modeling individualization in learning process.

Jul 25, 2020 · CKT could get better knowledge tracing results through modeling individualization in student learning process. Short Research Papers II.

Knowledge tracing (KT): an emerging research area under this context that aims to assess students' changing knowledge state during learning process.

Jul 25, 2020 · For individualized learning rates, we design hierarchical convolutional layers to extract them based on continuous learning interactions of ...

Jul 25, 2020 · Convolutional Knowledge Tracing (CKT) [46] introduces Convolutional Neural Networks (CNN) [45]. The Self-Attention Knowledge Tracing model (SAKT) ...

To this end, in this paper, we propose a novel Convolutional Knowledge Tracing (CKT) method to model individualization in KT. Specifically, for individualized ...

Jul 25, 2020 · This paper proposes a novel Convolutional Knowledge Tracing method, CKT, which measures individualized prior knowledge from students' ...

Source code and data set for the paper Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.

Convolutional knowledge tracing: Modeling individualization in student learning process. S Shen, Q Liu, E Chen, H Wu, Z Huang, W Zhao, Y Su, H Ma, S Wang.

Apr 11, 2024 · Knowledge Tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state.