| Instructions and guide for diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ... arXiv preprint arXiv:2007.12061, 2020 | 66 | 2020 |
| Evaluation of inundation models S Woodhead, N Asselman, Y Zech, S Soares-Frazao, P Bates, ... FLOODsite Project Report T08-07-01, 2007 | 17 | 2007 |
| Results and insights from diagnostic questions: The neurips 2020 education challenge Z Wang, A Lamb, E Saveliev, P Cameron, J Zaykov, ... NeurIPS 2020 Competition and Demonstration Track, 191-205, 2021 | 15 | 2021 |
| Educational question mining at scale: Prediction, analysis and personalization Z Wang, S Tschiatschek, S Woodhead, JM Hernández-Lobato, SP Jones, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15669 …, 2021 | 14* | 2021 |
| Evaluation of inundation models-limits and capabilities of models S Woodhead, N Asselman, Y Zech, S Soares-Frazão, P Bates, ... FLOODsite Consortium, Wallingford 28, 2007 | 14 | 2007 |
| Simultaneous missing value imputation and structure learning with groups P Morales-Alvarez, W Gong, A Lamb, S Woodhead, S Peyton Jones, ... Advances in Neural Information Processing Systems 35, 20011-20024, 2022 | 12 | 2022 |
| School students’ confidence when answering diagnostic questions online C Foster, S Woodhead, C Barton, A Clark-Wilson Educational Studies in Mathematics 109 (3), 491-521, 2022 | 11 | 2022 |
| Towards the Future of AI-Augmented Human Tutoring in Math Learning V Aleven, R Baraniuk, E Brunskill, S Crossley, D Demszky, S Fancsali, ... International Conference on Artificial Intelligence in Education, 26-31, 2023 | 6 | 2023 |
| Bayesian calibration of flood inundation simulators using an observation of flood extent SPB Woodhead University of Bristol, 2007 | 6 | 2007 |
| Contextual hypernetworks for novel feature adaptation A Lamb, E Saveliev, Y Li, S Tschiatschek, C Longden, S Woodhead, ... arXiv preprint arXiv:2104.05860, 2021 | 5 | 2021 |
| CoRGi: Content-Rich Graph Neural Networks with Attention J Kim, A Lamb, S Woodhead, S Peyton Jones, C Zhang, M Allamanis Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
| Novice learner and expert tutor: Evaluating math reasoning abilities of large language models with misconceptions N Liu, S Sonkar, Z Wang, S Woodhead, RG Baraniuk arXiv preprint arXiv:2310.02439, 2023 | 3 | 2023 |
| Exploring Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning H McNichols, W Feng, J Lee, A Scarlatos, D Smith, S Woodhead, A Lan arXiv preprint arXiv:2308.03234, 2023 | 3 | 2023 |
| Vicause: Simultaneous missing value imputation and causal discovery with groups P Morales-Alvarez, A Lamb, S Woodhead, SP Jones, M Allamanis, ... arXiv preprint arXiv 2110, 2021 | 3 | 2021 |
| Instructions and guide: Causal insights for learning paths in education W Gong, D Smith, Z Wang, C Barton, S Woodhead, N Pawlowski, ... arXiv preprint arXiv:2208.12610, 2022 | 2 | 2022 |
| Vicause: Simul-taneous missing value imputation and causal discovery P Morales-Alvarez, A Lamb, S Woodhead, SP Jones, M Allamanis, ... Technical Report MSR-TR-2021-14, 2021 | 2 | 2021 |
| Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning H McNichols, W Feng, J Lee, A Scarlatos, D Smith, S Woodhead, A Lan | 2 | |
| NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education W Gong, D Smith, Z Wang, C Barton, S Woodhead, N Pawlowski, ... arXiv preprint arXiv:2208.12610, 2022 | 1 | 2022 |
| Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models W Feng, J Lee, H McNichols, A Scarlatos, D Smith, S Woodhead, ... arXiv preprint arXiv:2404.02124, 2024 | | 2024 |
| Improving the Validity of Automatically Generated Feedback via Reinforcement Learning A Scarlatos, D Smith, S Woodhead, A Lan arXiv preprint arXiv:2403.01304, 2024 | | 2024 |
