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

COGENT is a framework for generating grade-appropriate K-12 science reading materials that align with curriculum standards (NGSS) and control readability through length, vocabulary, and sentence complexity constraints. The paper evaluates generated content using LLM-as-a-judge and human expert analysis across curriculum alignment, comprehensibility, and readability dimensions.

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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