LLM Prompt Evaluation for Educational Applications
By: Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris
Published: 2026-01-23
View on arXiv →#cs.AI
Abstract
This paper focuses on developing methods for evaluating prompts for Large Language Models (LLMs) specifically in educational contexts. It addresses the challenges of assessing prompt effectiveness and proposes a framework to ensure LLMs provide accurate and helpful responses for learning, thus contributing to the responsible deployment of AI in education.