no code implementations • 1 May 2024 • Jaewook Lee, Digory Smith, Simon Woodhead, Andrew Lan
We conduct a pilot study involving math educators to investigate how the tool can help them simplify the process of crafting high-quality math MCQs.
no code implementations • 19 Apr 2024 • Alexander Scarlatos, Wanyong Feng, Digory Smith, Simon Woodhead, Andrew Lan
Multiple-choice questions (MCQs) are commonly used across all levels of math education since they can be deployed and graded at a large scale.
1 code implementation • 2 Apr 2024 • Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in assessments and practices.
1 code implementation • 2 Mar 2024 • Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan
Second, we propose a framework for feedback generation that optimizes both correctness and alignment using reinforcement learning (RL).
no code implementations • 7 Aug 2023 • Hunter McNichols, Wanyong Feng, Jaewook Lee, Alexander Scarlatos, Digory Smith, Simon Woodhead, Andrew Lan
Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable form of assessment.
no code implementations • 17 Aug 2022 • Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang
In this competition, participants will address two fundamental causal challenges in machine learning in the context of education using time-series data.