3 papers
cs.CL2026
CodeGENCAT: Generative Computerized Adaptive Testing for Open-ended Coding Problems
Wanyong Feng, Alexander Scarlatos, Ruochen Sun +1
Existing Computerized Adaptive Testing (CAT) frameworks typically select questions based on the predicted likelihood that the student will answer correctly. This design ignores inf…
cs.AI2025
Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs
Wanyong Feng, Peter Tran, Stephen Sireci +1
The difficulty of multiple-choice questions (MCQs) is a crucial factor for educational assessments. Predicting MCQ difficulty is challenging since it requires understanding both th…
cs.AI2025
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics
Jaewook Lee, Jeongah Lee, Wanyong Feng +1
Advances in large language models (LLMs) offer new possibilities for enhancing math education by automating support for both teachers and students. While prior work has focused on…