Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; Angus Lamb; Evgeny Saveliev; Pashmina Cameron; Yordan Zaykov; José Miguel Hernández-Lobato; Richard E. Turner; Richard G. Baraniuk; Craig Barton; Simon Peyton Jones; Simon Woodhead 002; Cheng Zhang 005 (NeurIPS (Competition and Demos), 2020)

Large-Scale Educational Question Analysis with Partial Variational Auto-encoders. - Zichao Wang 001; Sebastian Tschiatschek; Simon Woodhead 002; José Miguel Hernández-Lobato; Simon Peyton Jones; Cheng Zhang 005 (CoRR, 2020)

Diagnostic Questions: The NeurIPS 2020 Education Challenge. - Zichao Wang 001; Angus Lamb; Evgeny Saveliev; Pashmina Cameron; Yordan Zaykov; José Miguel Hernández-Lobato; Richard E. Turner; Richard G. Baraniuk; Craig Barton; Simon Peyton Jones; Simon Woodhead 002; Cheng Zhang 005 (CoRR, 2020)

Educational Question Mining At Scale: Prediction, Analysis and Personalization. - Zichao Wang 001; Sebastian Tschiatschek; Simon Woodhead 002; José Miguel Hernández-Lobato; Simon Peyton Jones; Richard G. Baraniuk; Cheng Zhang 005 (AAAI, 2021)

Contextual HyperNetworks for Novel Feature Adaptation. - Angus Lamb; Evgeny Saveliev; Yingzhen Li; Sebastian Tschiatschek; Camilla Longden; Simon Woodhead 002; José Miguel Hernández-Lobato; Richard E. Turner; Pashmina Cameron; Cheng Zhang 005 (CoRR, 2021)

CoRGi: Content-Rich Graph Neural Networks with Attention. - Jooyeon Kim; Angus Lamb; Simon Woodhead 002; Simon Peyton Jones; Cheng Zheng; Miltiadis Allamanis (CoRR, 2021)

VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups. - Pablo Morales-Alvarez; Angus Lamb; Simon Woodhead 002; Simon Peyton Jones; Miltiadis Allamanis; Cheng Zhang 005 (CoRR, 2021)

CoRGi: Content-Rich Graph Neural Networks with Attention. - Jooyeon Kim; Angus Lamb; Simon Woodhead 002; Simon Peyton Jones; Cheng Zhang 005; Miltiadis Allamanis (KDD, 2022)

Simultaneous Missing Value Imputation and Structure Learning with Groups. - Pablo Morales-Alvarez; Wenbo Gong 001; Angus Lamb; Simon Woodhead 002; Simon Peyton Jones; Nick Pawlowski; Miltiadis Allamanis; Cheng Zhang 005 (NeurIPS, 2022)

Instructions and Guide: Causal Insights for Learning Paths in Education. - Wenbo Gong 001; Digory Smith; Zichao Wang 001; Craig Barton; Simon Woodhead 002; Nick Pawlowski; Joel Jennings; Cheng Zhang 005 (CoRR, 2022)

Towards the Future of AI-Augmented Human Tutoring in Math Learning. - Vincent Aleven; Richard G. Baraniuk; Emma Brunskill; Scott A. Crossley; Dora Demszky; Stephen Fancsali; Shivang Gupta; Kenneth R. Koedinger; Chris Piech; Steven Ritter 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 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)

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions. - Naiming Liu; Shashank Sonkar; Zichao Wang 001; Simon Woodhead 002; Richard G. Baraniuk (CoRR, 2023)

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning. - Alexander Scarlatos; Digory Smith; Simon Woodhead 002; Andrew S. Lan (AIED (1), 2024)

Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank. - Alexander Scarlatos; Wanyong Feng; Andrew S. Lan; Simon Woodhead 002; Digory Smith (BEA, 2024)

Math Multiple Choice Question Generation via Human-Large Language Model Collaboration. - Jaewook Lee 006; Digory Smith; Simon Woodhead 002; Andrew S. Lan (EDM, 2024)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. - Nigel Fernandez; Alexander Scarlatos; Wanyong Feng; Simon Woodhead 002; Andrew S. Lan (EMNLP, 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)

DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions. - Nigel Fernandez; Alexander Scarlatos; Simon Woodhead 002; Andrew S. Lan (CoRR, 2024)

Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions. - Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead 002 (J. Learn. Anal., 2025)

LookAlike: Consistent Distractor Generation in Math MCQs. - Nisarg Parikh; Nigel Fernandez; Alexander Scarlatos; Simon Woodhead 002; Andrew S. Lan (CoRR, 2025)

PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues. - Matthew Zent; Digory Smith; Simon Woodhead 002 (CoRR, 2025)