Enhancing Learnersourced Question Explanations with Large Language Models
The author presents an iterative enhancement framework, ILearner-LLM, to improve learnersourced question explanations using large language models. By iteratively generating and evaluating explanations, the framework aims to enhance the quality of student-aligned explanations.
