15 citations · 38 across the 15 of their papers we have counts for
8 papers · 1 filter
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
Nischal Ashok Kumar, Andrew Lan
The Socratic method is a way of guiding students toward solving a problem independently without directly revealing the solution to the problem. Although this method has been shown…
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models
Wanyong Feng, Jaewook Lee, Hunter McNichols +5
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.…
Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education
Nischal Ashok Kumar, Andrew Lan
In computer science education, test cases are an integral part of programming assignments since they can be used as assessment items to test students' programming knowledge and pro…
Modeling and Analyzing Scorer Preferences in Short-Answer Math Questions
Mengxue Zhang, Neil Heffernan, Andrew Lan
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for…
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Mengxue Zhang, Zichao Wang, Zhichao Yang +2
Solutions to math word problems (MWPs) with step-by-step explanations are valuable, especially in education, to help students better comprehend problem-solving strategies. Most exi…
SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues
Jaewook Lee, Andrew Lan
In second language vocabulary learning, existing works have primarily focused on either the learning interface or scheduling personalized retrieval practices to maximize memory ret…