Generating Feedback-Ladders for Logical Errors in Programming using Large Language Models

arXiv:2405.00302v1 Announce Type: new
Abstract: In feedback generation for logical errors in programming assignments, large language model (LLM)-based methods have shown great promise. These methods ask the LLM to generate feedback given the problem statement and a student's (buggy) submission. There are several issues with these types of methods. First, the generated feedback messages are often too direct in revealing the error in the submission and thus diminish valuable opportunities for the student to learn. Second, they do not consider …

abstract arxiv cs.cl errors feedback generate language language model language models large language large language model large language models llm programming type types