Vol. 16 No. 2 (2024)
Special Section EDM Cup 2023
Predicting Students’ Future Success: Harnessing Clickstream Data with Wide & Deep Item Response Theory
Abstract 105 | HTML Downloads 41 PDF Downloads 96 | DOI https://doi.org/10.5281/zenodo.13627151
Page 1-31
ClickTree: A Tree-based Method for Predicting Math Students’ Performance Based on Clickstream Data
Abstract 87 | HTML Downloads 22 PDF Downloads 48 | DOI https://doi.org/10.5281/zenodo.13627655
Page 32-57
Advanced Knowledge Tracing: Incorporating Process Data and Curricula Information via an Attention-Based Framework for Accuracy and Interpretability
Abstract 59 | HTML Downloads 141 PDF Downloads 482 | DOI https://doi.org/10.5281/zenodo.13712553
Page 58-84