| 2024 | Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts. | Xiaoyi Tian, Amogh Mannekote, Carly E. Solomon, Yukyeong Song, Christine Fry Wise, Tom McKlin, Joanne Barrett, Kristy Elizabeth Boyer, Maya Israel |
| 2024 | Determining Perceived Text Complexity: An Evaluation of German Sentences Through Student Assessments. | Boris Thome, Friederike Hertweck, Stefan Conrad |
| 2024 | Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students. | Valdemar Svbensk, Mlina Verger, Maria Mercedes T. Rodrigo, Clarence James G. Monterozo, Ryan S. Baker, Miguel Zenon Nicanor Lerias Saavedra, Sbastien Lall, Atsushi Shimada |
| 2024 | Combining Cognitive and Generative AI for Self-Explanation in Interactive AI Agents. | Shalini Sushri, Rahul K. Dass, Rhea Basappa, Hong Lu, Ashok K. Goel |
| 2024 | Learning Waste Management from Interactive Quizzes and Adaptive GPT-guided Feedback. | Qiming Sun, Shih-Yi Chien, I-Han Hsiao |
| 2024 | De-Identifying Student Personally Identifying Information with GPT-4. | Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker |
| 2024 | Replicating an "Astonishing Regularity in Student Learning Rate". | Mary Ann Simpson, Kole A. Norberg, Stephen E. Fancsali |
| 2024 | Parametric Constraints for Bayesian Knowledge Tracing from First Principles. | Denis Shchepakin, Sreecharan Sankaranarayanan, Dawn Zimmaro |
| 2024 | Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models. | Paras Sharma, Angela E. B. Stewart, Qichang Li, Krit Ravichander, Erin Walker |
| 2024 | Designing Simulated Students to Emulate Learner Activity Data in an Open-Ended Learning Environment. | Paras Sharma, Qichang Li |
| 2024 | Exploring AI-powered Multimodal Analogies for Science Education. | Shradha Sehgal, Bhavya, Krishna Phani Datta, Aditi Mallavarapu, ChengXiang Zhai |
| 2024 | Cultural Diversity in Team Conversations: A Deep Dive into its Effects on Cohesion and Team Performance. | Mohammad Amin Samadi, Nia Nixon |
| 2024 | Problem-Solving Behavior and EdTech Effectiveness: A Model for Exploratory Causal Analysis. | Adam C. Sales, Kirk P. Vanacore, Hyeon-Ah Kang, Tiffany A. Whittaker |
| 2024 | Tools for Planning and Analyzing Randomized Controlled Trials and A/B Tests. | Adam C. Sales, Johann A. Gagnon-Bartsch, Duy M. Pham |
| 2024 | Automatic Matchmaking in Two-Versus-Two Sports. | Sren Rttgers, Ulrike Kuhl, Benjamin Paaen |
| 2024 | RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations. | Jiarui Rao, Jionghao Lin |
| 2024 | Enhancing Multimodal Learning Analytics: A Comparative Study of Facial Features Captured Using Traditional vs 360-Degree Cameras in Collaborative Learning. | Robin Jephthah Rajarathinam, Christian Palaguachi, Jina Kang |
| 2024 | Towards Generalizable Agents in Text-Based Educational Environments: A Study of Integrating RL with LLMs. | Bahar Radmehr, Adish Singla, Tanja Kser |
| 2024 | Beyond Accuracy: Embracing Meaningful Parameters in Educational Data Mining. | Napol Rachatasumrit, Paulo Carvalho, Kenneth R. Koedinger |
| 2024 | Preface. | Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Kser, Qianhui Liu, Lea Cohausz |
| 2024 | Human-Centric eXplainable AI in Education (HEXED) Workshop. | Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Kser, Qianhui Liu, Lea Cohausz |
| 2024 | Intrinsically Interpretable Artificial Neural Networks for Learner Modeling. | Juan D. Pinto, Luc Paquette, Nigel Bosch |
| 2024 | Towards a Unified Framework for Evaluating Explanations. | Juan D. Pinto, Luc Paquette |
| 2024 | LOOL: Towards Personalization with Flexible \& Robust Estimation of Heterogeneous Treatment Effects. | Duy M. Pham, Kirk P. Vanacore, Adam C. Sales, Johann Gagnon-Bartsch |
| 2024 | Comparing Clustering Methods in Group-level Test Collusion Detection. | Luyao Peng |