Vol. 16 No. 2 (2024)
Editorial Acknowledgment
Abstract 75 | HTML Downloads 34 PDF Downloads 40 | DOI https://doi.org/10.5281/zenodo.14563229Special Section EDM Cup 2023
Predicting Students’ Future Success: Harnessing Clickstream Data with Wide & Deep Item Response Theory
Abstract 404 | HTML Downloads 204 PDF Downloads 323 | 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 286 | HTML Downloads 199 PDF Downloads 188 | 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 191 | HTML Downloads 375 PDF Downloads 593 | DOI https://doi.org/10.5281/zenodo.13712553
Page 58-84
Articles
ACE: AI-Assisted Construction of Educational Knowledge Graphs with Prerequisite Relations
Abstract 889 | HTML Downloads 345 PDF Downloads 258 | DOI https://doi.org/10.5281/zenodo.14250896
Page 85-114
Explaining Explainability: Early Performance Prediction with Student Programming Pattern Profiling
Abstract 408 | HTML Downloads 245 PDF Downloads 203 | DOI https://doi.org/10.5281/zenodo.14246435
Page 115-148
Estimation of ICAP States Based on Interaction Data During Collaborative Learning
Abstract 252 | HTML Downloads 126 PDF Downloads 189 | DOI https://doi.org/10.5281/zenodo.14283893
Page 149-176
A Scalable, Flexible, and Interpretable Analytic Pipeline for Stealth Assessment in Complex Digital Game-Based Learning Environments: Towards Generalizability
Abstract 427 | HTML Downloads 504 PDF Downloads 138 | DOI https://doi.org/10.5281/zenodo.14503598
Page 214-303
Extended Articles from the EDM 2023 Conference
Investigating Demographic Features and their Connection to Performance, Predictions, and Fairness in EDM Models
Abstract 180 | HTML Downloads 138 PDF Downloads 106 | DOI https://doi.org/10.5281/zenodo.14503515
Page 177-213
Extended Articles from the EDM 2024 Conference
Multi-Dimensional Performance Analysis of Large Language Models for Classroom Discussion Assessment
Abstract 348 | HTML Downloads 191 PDF Downloads 122 | DOI https://doi.org/10.5281/zenodo.14549071
Page 304-335