Can We Learn Together? How LLMs Adapt to Educational Levels

Abstract

This study investigates the adaptability of Large Language Models (LLMs) in educational contexts by designing tailored prompts for various educational levels and evaluating the models' performance using readability scores. Generated responses were analyzed to assess their alignment with the intended educational levels. Findings reveal differences in the models' ability to adjust content complexity, highlighting the importance of prompt design in achieving appropriate readability. This research underscores the potential of LLMs to enhance educational materials through prompt engineering, contributing to more personalized and accessible learning experiences.