Math Multiple Choice Question Generation via Human-Large Language Model Collaboration Abstract 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 stems and plausible distractors. Recent advances in large language models […]

Improving the Validity of Automatically Generated Feedback via Reinforcement Learning Abstract Automatically generating feedback via large language models (LLMs) in intelligent tutoring systems and online learning platformshas the potential to improve the learning outcomes of many students.However, both feedback generation and evaluation are challenging: feedback content has to be valid especially in subjects like math, […]