COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content

COGENT is a framework for generating curriculum-aligned, grade-appropriate science reading materials using LLMs, incorporating NGSS standards, readability controls, and wonder-based learning approaches. The paper evaluates generated content across curriculum alignment, comprehensibility, and readability metrics using both LLM-as-judge and human expert analysis.

While Generative AI has demonstrated strong potential and versatility in content generation, its application to educational contexts presents several challenges. Models often fail to align with curriculum standards and maintain grade-appropriate reading levels consistently. Furthermore, STEM education poses additional challenges in balancing scientific explanations with everyday language when introducing complex and abstract ideas and phenomena to younger students. In this work, we propose COGEN

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