# LLM-Driven Feedback for Enhancing Conceptual Design Learning in Database Systems Courses

arXiv: https://arxiv.org/abs/2412.17892 · HTML: https://mlsanity.com/paper/2412.17892/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Dec 2024.

## Built on by (most cited first, 2 of 2)

- [Students' Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For?](https://mlsanity.com/paper/2507.17258/) (2025)
- [An Educator-Guided LLM Pedagogical Agent for Scaffolded Feedback in Conceptual Database Design](https://mlsanity.com/paper/2610.00870/) (2026)

## Abstract (arXiv)

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.