Vol. 16 No. 2 (2024)
Editorial Acknowledgment
Abstract 71 | HTML Downloads 31 PDF Downloads 36 | 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 377 | HTML Downloads 191 PDF Downloads 306 | 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 281 | HTML Downloads 190 PDF Downloads 182 | 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 188 | HTML Downloads 355 PDF Downloads 585 | DOI https://doi.org/10.5281/zenodo.13712553
Page 58-84
Articles
ACE: AI-Assisted Construction of Educational Knowledge Graphs with Prerequisite Relations
Abstract 804 | HTML Downloads 319 PDF Downloads 240 | DOI https://doi.org/10.5281/zenodo.14250896
Page 85-114
Explaining Explainability: Early Performance Prediction with Student Programming Pattern Profiling
Abstract 378 | HTML Downloads 223 PDF Downloads 192 | DOI https://doi.org/10.5281/zenodo.14246435
Page 115-148
Estimation of ICAP States Based on Interaction Data During Collaborative Learning
Abstract 242 | HTML Downloads 114 PDF Downloads 175 | 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 404 | HTML Downloads 429 PDF Downloads 128 | 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 168 | HTML Downloads 118 PDF Downloads 94 | 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 329 | HTML Downloads 176 PDF Downloads 117 | DOI https://doi.org/10.5281/zenodo.14549071
Page 304-335