The integration of LLM-generated feedback into educational settings has shown promise in enhancing student learning outcomes. This paper presents a novel LLM-driven system that provides targeted feedback for conceptual designs in a Database Systems course. The system converts student-created entity-relationship diagrams (ERDs) into JSON format, allows the student to prune the diagram by isolating a relationship, extracts relevant requirements for the selected relationship, and utilizes a large language model (LLM) to generate detailed feedback. Additionally, the system creates a tailored set of questions and answers to further aid student understanding. Our pilot implementation in a Database System course demonstrates effective feedback generation that helped the students improve their design skills.
@article{arxiv.2412.17892,
title = {LLM-Driven Feedback for Enhancing Conceptual Design Learning in Database Systems Courses},
author = {Sara Riazi and Pedram Rooshenas},
journal= {arXiv preprint arXiv:2412.17892},
year = {2024}
}