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

• URL: http://arxiv.org/abs/2506.09367v1
• Date: Wed, 11 Jun 2025 03:27:50 GMT
• Title: COGENT: A Curriculum-oriented Framework for Generating Grade-appropriate Educational Content
• Authors: Zhengyuan Liu, Stella Xin Yin, Dion Hoe-Lian Goh, Nancy F. Chen,
• Abstract summary: COGENT is a curriculum-oriented framework for generating grade-appropriate educational content.<n>We incorporate three curriculum components (science concepts, core ideas, and learning objectives)<n>We control readability through length, vocabulary, and sentence complexity.
• Score: 35.360208404408496
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 COGENT, a curriculum-oriented framework for generating grade-appropriate educational content. We incorporate three curriculum components (science concepts, core ideas, and learning objectives), control readability through length, vocabulary, and sentence complexity, and adopt a ``wonder-based'' approach to increase student engagement and interest. We conduct a multi-dimensional evaluation via both LLM-as-a-judge and human expert analysis. Experimental results show that COGENT consistently produces grade-appropriate passages that are comparable or superior to human references. Our work establishes a viable approach for scaling adaptive and high-quality learning resources.

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