Algebra Error Classification with Large Language Models. - Hunter McNichols; Mengxue Zhang; Andrew S. Lan (AIED, 2023)

A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing. - Nischal Ashok Kumar; Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Aritra Ghosh 001; Andrew S. Lan (EDM, 2023)

Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning. - Hunter McNichols; Wanyong Feng; Jaewook Lee 006; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Andrew S. Lan (CoRR, 2023)

Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? - Hunter McNichols; Jaewook Lee 006; Stephen Fancsali; Steven Ritter 001; Andrew S. Lan (EDM, 2024)

Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank. - Jaewook Lee 006; Hunter McNichols; Andrew S. Lan (EMNLP (Findings), 2024)

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models. - Wanyong Feng; Jaewook Lee 006; Hunter McNichols; Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Nancy Otero Ornelas; Andrew S. Lan (NAACL-HLT (Findings), 2024)

The StudyChat Dataset: Student Dialogues With ChatGPT in an Artificial Intelligence Course. - Hunter McNichols; Andrew S. Lan (CoRR, 2025)