LLM Prompt Evaluation for Educational Applications

By: Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris

Published: 2026-01-23

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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.

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LLM Prompt Evaluation for Educational Applications | ArXiv Intelligence