| 2026 | AIED | A Multi-agent Approach to Validate and Refine LLM-Generated Personalized Math Problems. | Fareya Ikram, Nischal Ashok Kumar, Junyang Lu, Hunter McNichols, Candace A. Walkington, Neil T. Heffernan, Andrew S. Lan |
| 2026 | LAK | The StudyChat Dataset: Analyzing Student Dialogues With ChatGPT in an Artificial Intelligence Course. | Hunter McNichols, Fareya Ikram, Andrew Lan |
| 2024 | EDM | Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? | Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan |
| 2024 | EMNLP | Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank. | Jaewook Lee, Hunter McNichols, Andrew S. Lan |
| 2024 | NAACL | Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. | Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew S. Lan |
| 2023 | AIED | Algebra Error Classification with Large Language Models. | Hunter McNichols, Mengxue Zhang, Andrew S. Lan |
| 2023 | EDM | A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. | Nischal Ashok Kumar, Wanyong Feng, Jaewook Lee, Hunter McNichols, Aritra Ghosh, Andrew S. Lan |