Vol. 16 No. 2 (2024)
Special Section EDM Cup 2023
Predicting Students’ Future Success: Harnessing Clickstream Data with Wide & Deep Item Response Theory
Abstract 147 | HTML Downloads 57 PDF Downloads 137 | 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 113 | HTML Downloads 35 PDF Downloads 70 | 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 72 | HTML Downloads 161 PDF Downloads 506 | DOI https://doi.org/10.5281/zenodo.13712553
Page 58-84
Articles
ACE: AI-Assisted Construction of Educational Knowledge Graphs with Prerequisite Relations
Abstract 59 | HTML Downloads 10 PDF Downloads 14 | DOI https://doi.org/10.5281/zenodo.14250896
Page 85-114
Explaining Explainability: Early Performance Prediction with Student Programming Pattern Profiling
Abstract 39 | HTML Downloads 11 PDF Downloads 8 | DOI https://doi.org/10.5281/zenodo.14246435
Page 115-148
Estimation of ICAP States Based on Interaction Data During Collaborative Learning
Abstract 7 | HTML Downloads 3 PDF Downloads 0 | DOI https://doi.org/10.5281/zenodo.14283893
Page 149-176