| 2026 | AIED | Developing and Evaluating a Large Language Model-Based Tool for Qualitative Analysis of Teacher Interviews. | Mingyu Feng, Ethan Prihar, Natalie Brezack |
| 2026 | AIED | Towards Real-Time Personalized Feedback in Open-Ended Learning Environments. | Ethan Prihar, Hugues Saltini, Peter Bhlmann, Tanja Kser |
| 2025 | LAK | The Effect of Different Support Strategies on Student Affect. | Julie Le Tallec, Ethan Prihar, Tanja Kser |
| 2024 | AIED | An Interpretable Approach to Identify Performance Indicators Within Unstructured Learning Environments. | Ethan Prihar, Bahar Radmehr, Tanja Kser |
| 2024 | AIED | Can Large Language Models Generate Middle School Mathematics Explanations Better Than Human Teachers? | Allison Wang, Ethan Prihar, Aaron Haim, Neil T. Heffernan |
| 2023 | AIED | Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. | Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, Neil T. Heffernan |
| 2023 | EDM | Effective Evaluation of Online Learning Interventions with Surrogate Measures. | Ethan Prihar, Kirk Vanacore, Adam Sales, Neil T. Heffernan |
| 2022 | AIED | Deep Learning or Deep Ignorance? Comparing Untrained Recurrent Models in Educational Contexts. | Anthony F. Botelho, Ethan Prihar, Neil T. Heffernan |
| 2022 | AIED | Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance from Educators in Online Learning Platforms. | Aaron Haim, Ethan Prihar, Neil T. Heffernan |
| 2022 | AIED | More Powerful A/B Testing Using Auxiliary Data and Deep Learning. | Adam Sales, Ethan Prihar, Johann Gagnon-Bartsch, Ashish Gurung, Neil T. Heffernan |
| 2022 | EDM | Identifying Explanations Within Student-Tutor Chat Logs. | Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2022 | EDM | Exploring Common Trends in Online Educational Experiments. | Ethan Prihar, Manaal Syed, Korinn Ostrow, Stacy T. Shaw, Adam Sales, Neil T. Heffernan |
| 2021 | AIED | Identifying Struggling Students by Comparing Online Tutor Clickstreams. | Ethan Prihar, Alexander Moore, Neil T. Heffernan |
| 2021 | AIED | Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. | Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee |
| 2021 | EDM | A Novel Algorithm for Aggregating Crowdsourced Opinions. | Ethan Prihar, Neil T. Heffernan |
| 2021 | EDM | Estimating the Intelligent Tutor Effects on Specific Posttest Problems. | Adam Sales, Ethan Prihar, Neil T. Heffernan, John Pane |