| 2024 | Predicting Response Time of Questions Using Linear Mixed-effects Model. | Luyao Peng |
| 2024 | Boosting Precision in Educational A/B Tests Using Auxiliary Information and Design-Based Estimators. | Yanping Pei, Adam Sales, Johann Gagnon-Bartsch |
| 2024 | Logistic Knowledge Tracing Tutorial: Practical Educational Applications. | Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu |
| 2024 | Examining the Algorithmic Fairness in Predicting High School Dropouts. | Chenguang Pan, Zhou Zhang |
| 2024 | Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming. | Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla |
| 2024 | Towards Modeling Learner Performance with Large Language Models. | Seyed Parsa Neshaei, Richard Lee Davis, Adam Hazimeh, Bojan Lazarevski, Pierre Dillenbourg, Tanja Kser |
| 2024 | Same Learning Platform, Different Types of Research: A National-Level Analysis. | Nidhi Nasiar, Ryan S. Baker, Juliana Ma. Alexandra L. Andres, Namrata Srivastava |
| 2024 | Evaluating Correctness of Student Code Explanations: Challenges and Solutions. | Arun Balajiee Lekshmi Narayanan, Peter Brusilvosky |
| 2024 | Automatic Question Generation and Constructed Response Scoring in Intelligent Texts. | Wesley Morris, Joon Suh Choi, Langdon Holmes, Vaibhav Gupta, Scott A. Crossley |
| 2024 | E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems. | Yuma Miyazaki, Valdemar Svbensk, Yuta Taniguchi, Fumiya Okubo, Tsubasa Minematsu, Atsushi Shimada |
| 2024 | Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? | Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan |
| 2024 | Deductive Coding's Role in AI vs. Human Performance. | Jeanne McClure, Daria Smyslova, Amanda Hall, Shiyan Jiang |
| 2024 | An Evaluation of a Placement Assessment for an Adaptive Learning System. | Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun |
| 2024 | GPT vs. Llama2: Which Comes Closer to Human Writing? | Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao |
| 2024 | Using Publicly Available Auxiliary Data to Improve Precision of Treatment Effect Estimation in a Randomized Efficacy Trial. | Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch |
| 2024 | Mining Epistemic Actions of Programming Problem Solving with Chat-GPT. | Rwitajit Majumdar, Prajish Prasad, Aamod Sane |
| 2024 | Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications. | Subhankar Maity, Aniket Deroy, Sudeshna Sarkar |
| 2024 | How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? | Subhankar Maity, Aniket Deroy, Sudeshna Sarkar |
| 2024 | Educational Data Mining in Writing and Literacy Instruction. | Collin Lynch, Paul Deane, Piotr Mitros, Zhikai Gao, Damilola Babalola |
| 2024 | Power Calculations for Randomized Controlled Trials with Auxiliary Observational Data. | Jaylin Lowe, Charlotte Z. Mann, Jiaying Wang, Adam Sales, Johann A. Gagnon-Bartsch |
| 2024 | Math in Motion: Analyzing Real-Time Student Collaboration in Computer-Supported Learning Environments. | Hongming Li, Shan Zhang, Ben Seiyon Lee, Ji-Eun Lee, Zirui Zhong, Erik Weitnauer, Anthony F. Botelho |
| 2024 | On the Selection of Positive and Negative Samples for Contrastive Math Word Problem Neural Solver. | Yiyao Li, Lu Wang, Jung-Jae Kim, Chor Seng Tan, Ye Luo |
| 2024 | Explainable Analysis of AI-Generated Responses in Online Learning Discussions. | Zifeng Liu, Wanli Xing, Chenglu Li |
| 2024 | Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. | Qianhui Liu, Luc Paquette |
| 2024 | Fair Prediction of Students' Summative Performance Changes Using Online Learning Behavior Data. | Zifeng Liu, Xinyue Jiao, Chenglu Li, Wanli Xing |