1 code implementation • 27 Jun 2024 • Nigel Fernandez, Alexander Scarlatos, Wanyong Feng, Simon Woodhead, Andrew Lan
High-quality distractors are crucial to both the assessment and pedagogical value of multiple-choice questions (MCQs), where manually crafting ones that anticipate knowledge deficiencies or misconceptions among real students is difficult.
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 • 3 Oct 2023 • Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk
We propose novel evaluations for mathematical reasoning capabilities of Large Language Models (LLMs) based on mathematical misconceptions.
1 code implementation • 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.
1 code implementation • 15 Oct 2021 • Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
Learning structures between groups of variables from data with missing values is an important task in the real world, yet difficult to solve.
no code implementations • 10 Oct 2021 • Jooyeon Kim, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Cheng Zheng, Miltiadis Allamanis
Graph representations of a target domain often project it to a set of entities (nodes) and their relations (edges).
no code implementations • 12 Apr 2021 • Angus Lamb, Evgeny Saveliev, Yingzhen Li, Sebastian Tschiatschek, Camilla Longden, Simon Woodhead, José Miguel Hernández-Lobato, Richard E. Turner, Pashmina Cameron, Cheng Zhang
While deep learning has obtained state-of-the-art results in many applications, the adaptation of neural network architectures to incorporate new output features remains a challenge, as neural networks are commonly trained to produce a fixed output dimension.
no code implementations • 23 Jul 2020 • Zichao Wang, 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, Cheng Zhang
In this competition, participants will focus on the students' answer records to these multiple-choice diagnostic questions, with the aim of 1) accurately predicting which answers the students provide; 2) accurately predicting which questions have high quality; and 3) determining a personalized sequence of questions for each student that best predicts the student's answers.
no code implementations • 12 Mar 2020 • Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jose Miguel Hernandez-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang
Online education platforms enable teachers to share a large number of educational resources such as questions to form exercises and quizzes for students.