Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Smith, Digory"'
Multiple choice questions (MCQs) are a popular method for evaluating students' knowledge due to their efficiency in administration and grading. Crafting high-quality math MCQs is a labor-intensive process that requires educators to formulate precise
Externí odkaz:
http://arxiv.org/abs/2405.00864
Multiple-choice questions (MCQs) are commonly used across all levels of math education since they can be deployed and graded at a large scale. A critical component of MCQs is the distractors, i.e., incorrect answers crafted to reflect student errors
Externí odkaz:
http://arxiv.org/abs/2405.05144
Autor:
Feng, Wanyong, Lee, Jaewook, McNichols, Hunter, Scarlatos, Alexander, Smith, Digory, Woodhead, Simon, Ornelas, Nancy Otero, Lan, Andrew
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. One of the most important aspects of MCQs is the distractors, i.e., in
Externí odkaz:
http://arxiv.org/abs/2404.02124
Automatically generating feedback via large language models (LLMs) in intelligent tutoring systems and online learning platforms has the potential to improve the learning outcomes of many students. However, both feedback generation and evaluation are
Externí odkaz:
http://arxiv.org/abs/2403.01304
Autor:
McNichols, Hunter, Feng, Wanyong, Lee, Jaewook, Scarlatos, Alexander, Smith, Digory, Woodhead, Simon, Lan, Andrew
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. An important aspect of MCQs is the distractors, i.e., incorrect options that are design
Externí odkaz:
http://arxiv.org/abs/2308.03234
Autor:
Gong, Wenbo, Smith, Digory, Wang, Zichao, Barton, Craig, Woodhead, Simon, Pawlowski, Nick, Jennings, Joel, Zhang, Cheng
In this competition, participants will address two fundamental causal challenges in machine learning in the context of education using time-series data. The first is to identify the causal relationships between different constructs, where a construct
Externí odkaz:
http://arxiv.org/abs/2208.12610